1.
Introduction
Optical fiber communication has the advantages of large capacity, high quality, stable performance, anti-electromagnetic interference, and strong confidentiality[1]. It is a long-term solution for the development of broadband access. In recent years, with the emergence of new services and devices such as smart handheld terminal devices, ultra-high-definition video TVs, big data storage, cloud computing, and virtual reality, the research on optical access networks has evolved from the 100 Mb/s capacity stage to the hundreds of Gb/s capacity stage. So far, there has been a continuous demand to upgrade the optical fiber network to 100/200 Gb/s, and soon, a 400 Gb/s data rate using a digital coherent transceiver on the line sides will be provided according to the requirements of long-distance and metropolitan area networks[2, 3]. Coupled with 5G services' related requirements for access networks, this type of upgrade promotes the data rate to support 400 Gb/s capacity and higher rates to match the line side transponder speed. Fig. 1 shows a typical fiber-optic communication network for the core/metro and access network scenarios[4]. Currently, digital coherent optical communication and intensity-modulation and direct-detection (IM/DD) solutions are mainly applied to metropolitan area networks and access networks, respectively.
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(Color online) A typical fiber-optic communication network for the core, metro and access network scenarios, where the IM/DD links are addressed in the metroedge and intra-/inter-data center networks. CO: center office; RN: remote node; DCI: datacenter interconnects. ? [2020] IEEE. Reprinted, with permission, from Ref. [4].
In addition to this continuous development of traditional telecommunications networks, content providers have recently promoted higher requirements for optical interfaces with higher data rates, usually in the form of data centers with their own network infrastructure as shown in Fig. 1. Nowadays, due to the storage, transmission and processing of large amounts of data, the traffic in the data center will greatly increase[5]. These high-speed data links can be divided into two groups: intra-data center and inter-data center links. The first group includes short-distance data links ranging from a few meters to a few kilometers, connecting servers and racks in the data center. The second group is also commonly referred to as the data center interconnect (DCI), which enables data exchange between multiple data centers to be much longer than the links within the data center, usually ranging from several kilometers to hundreds of kilometers[6]. Researchers have established various industry standards and multi-source protocol groups to propose transceiver specifications for these application scenarios. For example, regarding the supported distance, the 100G Ethernet transceiver standard can be classified as a short range (SR) (100 m), data-center range (DR) (500 m), fiber reach distance (FR) (2 km), long reach distance (LR) (10 km), and extended distance (ER) (40 km). In the upcoming 400G era, IM/DD solutions still give priority to these specifications due to cost, power consumption, and occupying advantages[7, 8].
Moreover, with the continuous development and maturity of 5G technology, the mobile fronthaul network based on the optical access network has also received extensive attention from academia and industry[9]. Therefore, the future optical access network not only needs to satisfy the traditional fixed network access service, but also needs to meet the mobile access service requirement, which puts forward new demands on the capacity of the optical access network. The increase in the capacity of the optical access network will inevitably bring great challenges to the operator's laying cost since the optical access network is very cost-sensitive. The low-cost technologies have always been the main research topic of the optical access network. IM/DD technology, as the mainstream transmission technology of optical access network, has been widely studied and applied in recent years. A typical IM/DD system with digital signal processing (DSP) and advanced modulation formats based on a directly modulated laser (DML) is illustrated in Fig. 2. The configuration of such a system is simple, leading to the advantages of low cost, low power consumption, small size, and convenience to integrate in the optical module.
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(Color online) A schematic diagram of the IM/DD system based on DML. DSP: digital signal processing; DAC: digital-to-analog convertor; LDD: laser diode driver; DML: directly modulated laser; SMF: single mode fiber; MMF: multi-mode fiber; ADC: analog-to-digital convertor.
The semiconductor laser is one of the most important components in the IM/DD system. It determines the achievable data rate of the system from the bottom. Thus, long-term efforts have been made in semiconductor laser research in order to obtain broad bandwidth, low noise, and high power efficiency, so that it meets the increasing demand of the transmission data rate[10, 11]. In an IM/DD system, the semiconductor laser is usually used as the coherent light source of the modulator, or as the modulator directly. The former case corresponds to the external modulation method, and the latter case corresponds to the direct modulation method. They are the two main approaches to modulate the electrical signal on the optical carrier. In the external modulation method, the optical carrier generated from the laser source is modulated by a separate modulator (such as electro-absorption modulator and electro-optic modulator) under the driven of the electronic signal. This approach has the advantages of larger bandwidth and reduced chirp. However, the need of the separate modulator leads to high cost and low integration. Therefore, the external modulation is widely used in the long-distance optical trunk transmission (> 10 km)[12]. While in the direct modulation method, the modulated optical signal can be obtained by directly modulating the laser current with the electronic signal, resulting in lower cost and lower system complexity. Thus, the direct modulation approach is very suitable for short-distance (within tens of kilometers) high-speed transmission between a large number of devices, which is exactly the situation in data centers and 5G fronthaul network. However, the relatively narrow bandwidth and the frequency chirping of the DML limit the performance of the direct modulation approach[13]. Nevertheless, for transmission distance within tens of kilometers, the direct modulation still can provide good performance[14].
The most commonly used three types of DMLs are the Fabry–Perot (FP) laser, the vertical cavity surface emitting laser (VCSEL), and the distributed feedback (DFB) laser. For the low-cost VCSEL, due to its multi-transverse-mode operation, the transmission distance is limited by the modal dispersion, and is usually tens of meters. On the other hand, due to its short cavity length, the modulation bandwidth of the VCSEL can achieve up to 30 GHz[15]. Thus, the VCSEL is widely used in short-range high-speed applications, such as internal data centers. For the FP laser, due to its multi-longitudinal-mode operation, the transmission distance is limited by the chromatic dispersion, and is usually hundreds of meters. Therefore, the FP laser is generally used in an optical access network with a modulation bandwidth of several GHz. As for the single mode DFB laser, the transmission distance is only limited by its optical output power level and chirp-related dispersion. Transmission distance up to tens of kilometers can be achieved. Moreover, the modulation bandwidth of the DFB laser can achieve up to tens of GHz. Therefore, the DFB laser is the superior choice of the DML of the IM/DD system used in data centers and 5G fronthaul network.
Based on the previous discussion, it is very attractive to apply DML-based IM/DD system in data centers and 5G fronthaul network due to its advantages of low cost, low system complexity, and high energy efficiency, which perfectly match the application scenarios of data centers and 5G fronthaul network, in which a large number of high-speed optical interconnections are needed. However, the future demand of high data rate in data centers and 5G fronthaul network is challenging the existing DML-based IM/DD system, and the main bottleneck is the modulation bandwidth of the DML. Therefore, it is necessary to explore the prospects, challenges, and future development of DMLs in the applications of future data centers and 5G fronthaul network. In this paper, this topic is comprehensively discussed. We narrow our focus on the DFB DMLs and DFB-based advanced DMLs, because their transmission distance is guaranteed by the single-mode operation and they have huge potential to achieve broader modulation bandwidth. In Section 2, the data rate demands and technical standards of data centers and 5G fronthaul networks are reviewed in detail. And the modulation bandwidth requirements of the DML are included. In Section 3, the technical routes and achievements of recent DMLs are reviewed and discussed based on the rate equation theory model. In Section 4, the prospect of applying DMLs in the future data centers and 5G fronthaul networks is discussed in terms of feasibility, technical complexity and future improvement direction.
2.
Industry requirements and standards for data centers and 5G networks
For a long time, components used for photoelectric conversion and electro-optical conversion (especially DMLs) have been the bottleneck of the end-to-end channel bandwidth in high-speed IM/DD systems. This is mainly due to the following facts: fundamentally speaking, the design, manufacturing and packaging process of such optoelectronic components and devices that support a wide bandwidth while maintaining low noise levels are challenging. Technological advancements in different fields, including material technology, design, manufacturing and packaging are strictly required. Recently, a significant progress has been made in the design and manufacture of such broadband components to greatly enhance the channel capacity of the IM/DD system[16, 17]. A DML with more than 70-GHz modulation bandwidth is expected to realize a 200 Gb/s per channel IM/DD transmission to meet the requirement of data centers and 5G networks. The specific requirements and some international standards are summarized and presented in this section.
2.1
Data center
As the core platform for the cloud computing, the need to develop data centers is becoming more and more urgent. The current data centers are far from being able to meet the needs of today's society in terms of quantity and performance. Most big data processing and calculations are carried out in data centers. According to the Cisco Global Cloud Computing Index White Paper, 99% of global communication traffic is related to data centers. Among them, most data communications are still concentrated inside the data center. Due to the explosion of data volume and the rapid growth of network traffic, data centers are upgrading from 10G/40G to 25G/100G/400G architectures. Traditional electrical interconnection is difficult to meet the increasing transmission bandwidth and transmission rate requirements of data centers, which brings huge opportunities for optical interconnection. Optical transmission has the advantages of large bandwidth and long-distance transmission. Its main application scenario is to provide a large-bandwidth information transmission channel between the two points. The use of optical interconnection between data centers and within data centers will greatly enhance the data processing and computing capabilities of the data centers. In today's data center network, almost every connection uses optical interconnection technology, including the connection between servers and switches within a few meters of the data center. And simply the growth of the data traffic in the data center does not really benefit the internet of things. Only when numerous data centers are interconnected can it be possible to benefit data transmission under the internet of things. Scalable data center architecture meets the growth of east–west traffic in modern ultra-large-scale data center architecture, making data center interconnection possible. A large amount of data traffic will use optical transmission to enter the data center, and information cloud data is shared between data centers, so that optical transmission will be used not only for data transmission within the data center, but also for interconnection between data centers. Therefore, the scale of optical transmission in the data center optical interconnection market will far exceed that of telecom operators.
For the internal interconnection of the data center, the most ideal method is that each server is connected to all other servers, so that the application layer software does not need to communicate with the central computer responsible for computing task scheduling. However, such a network structure will be extremely complex and costly. In practice, the data center adopts a topological hierarchical structure, and the interconnection between clusters is converged through a packet switching network. Parallel optical transmission technology is an important method of the data center internal communication. This transmission method can not only greatly increase the communication rate, but also combines the parallel data channel structure in the large-scale network architecture, and the data processing speed is also greatly improved. The short-distance optical connection usually uses a DML with low cost, low power consumption, and enough modulation bandwidth. In order to achieve higher transmission rates and reduce the transmission cost per bit, the application of optical integrated circuits (PIC) and wavelength division multiplexing (WDM) technologies has gradually become the mainstream.
As a key factor in the data center, optical modules have broad development prospects. The interconnection of 40G to 100G is imminent. Generally speaking, a short-distance 100 Gb/s optical interconnection can use
Standard | Reach (m) | Modulation scheme | Baud rate (Gbaud) |
400G BASE-SR16 | 100 | NRZ | 26.6 |
400G BASE-DR4 | 500 | PAM4 | 53.1 |
400G BASE-FR8 | 2000 | PAM4 | 26.6 |
400G BASE-LR8 | 10000 | PAM4 | 26.6 |
200G BASE-SR4 | 100 | PAM4 | 26.6 |
200G BASE-DR4 | 500 | PAM4 | 26.6 |
200G BASE-FR4 | 2000 | PAM4 | 26.6 |
200G BASE-LR4 | 10000 | PAM4 | 26.6 |
100G BASE-SR10 | 70/100 | NRZ | 10.3 |
100G BASE-SR2 | 400 | PAM4 | 26.6 |
100G BASE-DR | 500 | PAM4 | 53.1 |
100G BASE-SR4 | 70/100 | NRZ | 25.8 |
100G SWDM | 400 | NRZ | 25.8 |
100G PSM4 | 500 | NRZ | 25.8 |
100G BASE-LR4 | 10000 | NRZ | 25.8 |
100G BASE-ER4 | 40000 | NRZ | 25.8 |
50G BASE-SR | 100 | PAM4 | 26.6 |
50G BASE-FR | 2000 | PAM4 | 26.6 |
50G BASE-LR | 10000 | PAM4 | 26.6 |
Table1.
High-speed optical interface standards.
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Standard | Reach (m) | Modulation scheme | Baud rate (Gbaud) |
400G BASE-SR16 | 100 | NRZ | 26.6 |
400G BASE-DR4 | 500 | PAM4 | 53.1 |
400G BASE-FR8 | 2000 | PAM4 | 26.6 |
400G BASE-LR8 | 10000 | PAM4 | 26.6 |
200G BASE-SR4 | 100 | PAM4 | 26.6 |
200G BASE-DR4 | 500 | PAM4 | 26.6 |
200G BASE-FR4 | 2000 | PAM4 | 26.6 |
200G BASE-LR4 | 10000 | PAM4 | 26.6 |
100G BASE-SR10 | 70/100 | NRZ | 10.3 |
100G BASE-SR2 | 400 | PAM4 | 26.6 |
100G BASE-DR | 500 | PAM4 | 53.1 |
100G BASE-SR4 | 70/100 | NRZ | 25.8 |
100G SWDM | 400 | NRZ | 25.8 |
100G PSM4 | 500 | NRZ | 25.8 |
100G BASE-LR4 | 10000 | NRZ | 25.8 |
100G BASE-ER4 | 40000 | NRZ | 25.8 |
50G BASE-SR | 100 | PAM4 | 26.6 |
50G BASE-FR | 2000 | PAM4 | 26.6 |
50G BASE-LR | 10000 | PAM4 | 26.6 |
To meet the ever-increasing bandwidth requirements of data centers, data rates, device power consumption, and space density need to be increased on a large scale. In the next few years, the speed of optical transceivers in data centers will increase by 4 times, while power consumption and space occupation will remain unchanged. The traditional binary on–off keying (OOK) modulation method can reach a rate of 20 Gb/s or more in an IM/DD system. In order to achieve a higher rate of transmission, it is necessary to put forward higher requirements on the bandwidth and dispersion performance of optoelectronic devices, and at the same time new technologies are required to be applied to short-distance optical connections. These new technologies include dispersion compensation, low-power integrated silicon optical circuits, and the evolution of new DML array to build parallel multi-channel. Parallel channel technology includes multi-fiber technology and multi-wavelength technology. At the transmitting end, the electrical signal passes through the drive circuit to modulate the laser array to generate parallel multi-path optical signals, and then these optical signals are coupled into the optical fiber for transmission. At the receiving end, the optical signal is converted into an electrical signal by the photodetector array, and then the electrical signal is recovered by the receiver circuit.
2.2
5G fronthaul
The 5G radio access network (RAN) mainly adopts the small-scale centralized mode of the gNB macro station, the centralized unit (CU), and the distributed unit (DU) in the early stage. In the future mature period, the CU and the DU separation mode can be adopted and CU cloudification and CRAN centralized construction mode can be implemeted. For the small-scale centralized scenario of CRAN, the DU is mainly deployed in the access computer room, and the centralized scales of base stations are usually from 3 to 5, which are connected to the nearest secondary optical switch or directly connected to the ODF of the base station computer room, no need to cross the backbone optical ring. For the large-scale centralized scenario of CRAN, the DU is deployed in a common convergent computer room or integrated service access site. The centralized scale is usually 10–20 base stations and it crosses the backbone optical ring.
As an industrial cooperation organization, the Common Public Radio Interface (CPRI) Alliance defines publicly available specifications for the internal interface of the 5G fronthaul network between Radio Equipment (RE) and Radio Equipment Control (REC)[18]. After CPRI released the latest version of CPRI V7.0 in October 2015, it is committed to promoting the definition of a new enhanced CPRI specification, named eCPRI. Then the latest version of the eCPRI specification V2.0 is released in May 2019. This specification defines the fronthaul interface of the Ethernet format. Compared with the traditional CPRI interface, the bandwidth of eCPRI is reduced by 10 times under the same conditions, and it also realizes the adaptation between the bandwidth of the fronthaul network and the load from the base station[19].
The 5G fronthaul mainly realizes signal transmission between active antenna unit (AAU) and DU. The technical solutions mainly include optical fiber direct connection and WDM solutions. WDM solutions can be divided into passive, active, and semi-active. The main technical characteristics are as follows:
(1) Optical fiber direct connection scheme: the AAU and DU are directly connected by optical fiber. AAU and building baseband unit (BBU) are equipped with 25 Gb/s white light modules. Generally, a single 5G S111 base station requires 6-core fiber resources when using dual-fiber bidirectional interconnection. Considering that the large-scale construction of 5G base stations will consume huge access layer fiber resources, the industry proposes a 25 Gb/s BiDi (bidirectional) solution. The data signals in both directions of AAU and DU are transmitted in one fiber using different wavelengths. It can save half of the fiber resources by reducing from six cores to three cores.
(2) Passive WDM solution: It means that both the AAU and DU are equipped with color light modules, and a passive multiplexer/demultiplexer is deployed at both ends to realize color light channel signal multiplexing without any active transmission equipment. This solution only needs one core optical fiber cable when it is based on single-fiber bidirectional mode in unprotected scenarios. Currently, the main commercial products of passive WDM solutions are based on fixed wavelength coarse wavelength division multiplexing (CWDM) solutions.
(3) Semi-active WDM solution: Deploy active WDM equipment on the DU or BBU side, and only deploy the passive multiplexer and demultiplexer on the AAU side, and realize network operation and maintenance such as optical module status monitoring and wavelength tuning through optical signal top adjustment. This solution is the focus of recent operator research and future deployment, and is actively promoting product development, standardization, and testing verification.
(4) Active WDM solution: Active devices are deployed on both the AAU side and the DU side for service access and transmission. The feature of this solution is that the transmission and wireless professional equipment management interface is clear, and the transmission equipment supports complete network operation and maintenance management and control capabilities. At the AAU side, taking into account the working environment, power supply situation, comprehensive network cost, as well as factors such as low latency of the order of 100
The WDM technology for 5G fronthaul can be further divided into four schemes: CWDM, LAN-WDM based on local area network channel, medium wavelength division multiplexing (MWDM) and dense wavelength division multiplexing (DWDM) based on the used frequency band and channel spacing difference. On the whole, CWDM technical standards are relatively mature. At present, passive and semi-active CWDM have commercial products, which are the main deployment solutions for the short-term C-RAN scenario to solve the shortage of optical fiber resources. Semi-active MWDM, LAN-WDM and DWDM are in the process of product development and standardization, to support richer control functions and improve maturity and stability.
Currently, China Communication Standardization Association (CCSA) and ITU-T are mainly responsible for the standardization of 5G fronthaul. CCSA TC6 has formally established a project and started the standardization work of the WDM system and color light module based on 25 Gb/s data rate, including four typical programs of CWDM, LWDM, MWDM and DWDM. ITU-T SG15 is also focusing on G.698.x serial standards. The formulation of 25 Gb/s DWDM standards, including fixed wavelength and tunable wavelength, has made significant progress in related parameters and assignment research. In addition, ITU-T has also started to discuss the standardization of 25 Gb/s CWDM system for fronthaul. In fronthaul application scenarios, 25, 50, and 100 Gb/s rates introduce one or more key technologies such as single-fiber bidirectional and WDM. Optical module types show a diversified and dispersed development trend, see Table 2 for details.
Data rate (Gb/s) | Reach (km) | Scheme | Package |
25 | 0.3 | Duplex | SFP28 |
25 | 10 | Duplex | SFP28 |
25 | 10 | Bidi | SFP28 |
25 | 15/20 | Bidi | SFP28 |
25 | 10 | CWDM | SFP28 |
25 | 10 | MWDM | SFP28 |
25 | 10/20 | LWDM | SFP28 |
25 | 10 | DWDM | SFP28 |
100 | 10 | 4WDM | QSFP28 |
100 | 10 | Bidi | QSFP28/CFP28 |
Table2.
Optical modules for 5G fronthaul.
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Data rate (Gb/s) | Reach (km) | Scheme | Package |
25 | 0.3 | Duplex | SFP28 |
25 | 10 | Duplex | SFP28 |
25 | 10 | Bidi | SFP28 |
25 | 15/20 | Bidi | SFP28 |
25 | 10 | CWDM | SFP28 |
25 | 10 | MWDM | SFP28 |
25 | 10/20 | LWDM | SFP28 |
25 | 10 | DWDM | SFP28 |
100 | 10 | 4WDM | QSFP28 |
100 | 10 | Bidi | QSFP28/CFP28 |
3.
State-of-the-art works of DMLs
3.1
Rate equations of semiconductor lasers
Firstly, we discuss the coupled rate equations for charge carriers and photons, which are helpful to describe the dynamic characteristics of semiconductor lasers. From this basic analysis framework, the directions of improving DML modulation bandwidth are outlined. Accompanied with a review of the resent research achievements of DMLs, the prospect of applying DML-based IM/DD system in future data centers and 5G fronthaul is explored.
The analysis framework here is summarized from Coldren et al.[20]. The meaning of the used symbols is listed in Table 3. The reservoir model, as shown in Fig. 3, is used to develop the rate equations. Each arrow in Fig. 3 represents the number of particles flowing per unit time. By considering the particle conservation in the carrier reservoir and photo reservoir. The following carrier and photon number rate equations can be obtained:
Symbol | Meaning |
$V$ | Active-region volume |
$V_{ m p}$ | Mode volume |
$varGamma$ | Confinement factor |
$R_{ m{sp}}$ | Spontaneous recombination rate |
$R_{ m{nr}}$ | Nonradiative recombination rate |
$R_{ m 12}$ | Stimulated absorption rate |
$R_{ m 21}$ | Stimulatedemission rate |
$beta_{ m{sp}}$ | Spontaneous emission factor |
$eta_{ m i}$ | Injection or internal efficiency of the laser |
$eta_{ m 0}$ | Optical efficiency of the laser |
$I$ | Injection current |
$q$ | Elementary charge |
$N$ | Carrier density |
$N_{ m p}$ | Photon density |
$P_{ m 0}$ | Useful output power |
$P_{ m{sp}}$ | Spontaneously generated optical power |
$tau_{ m p}$ | Photon lifetime |
$v_{ m g}$ | Group velocity of the mode |
$g$ | Material gain |
Table3.
The meaning of the symbols in the rate equations.
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Symbol | Meaning |
$V$ | Active-region volume |
$V_{ m p}$ | Mode volume |
$varGamma$ | Confinement factor |
$R_{ m{sp}}$ | Spontaneous recombination rate |
$R_{ m{nr}}$ | Nonradiative recombination rate |
$R_{ m 12}$ | Stimulated absorption rate |
$R_{ m 21}$ | Stimulatedemission rate |
$beta_{ m{sp}}$ | Spontaneous emission factor |
$eta_{ m i}$ | Injection or internal efficiency of the laser |
$eta_{ m 0}$ | Optical efficiency of the laser |
$I$ | Injection current |
$q$ | Elementary charge |
$N$ | Carrier density |
$N_{ m p}$ | Photon density |
$P_{ m 0}$ | Useful output power |
$P_{ m{sp}}$ | Spontaneously generated optical power |
$tau_{ m p}$ | Photon lifetime |
$v_{ m g}$ | Group velocity of the mode |
$g$ | Material gain |
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Figure3.
Model used in the rate equation analysis of semiconductor lasers. Copyright ? 2012 John Wiley & Sons, Inc. Reprinted, with permission, from Ref. [20].
$$ V frac{{ m{d}} N}{{ m{d}} t} = frac{eta_{ m{i}} I}{q}-left(R_{ m{sp}}+R_{ m{nr}} ight) V-left(R_{21}-R_{12} ight) V, $$ | (1) |
$$ V_{ m{p}} frac{{ m{d}} N_{ m{p}}}{{ m{d}} t} = left(R_{21}-R_{12} ight) V-frac{N_{ m{p}} V_{ m{p}}}{tau_{ m{p}}}+R_{ m{sp}}^{prime} V, $$ | (2) |
where
m{sp}}^{prime} = beta_{
m{sp}} R_{
m{sp}} $
m{sp}}^{prime}V $
m{g}} g N_{
m{p}} $
m{p}} $
$$frac{{ m{d}} N}{{ m{d}} t} = frac{eta_{ m{i}} I}{q V}-left(R_{ m{sp}}+R_{ m{nr}} ight)-v_{ m{g}} g N_{ m{p}}, $$ | (3) |
$$ frac{{ m{d}} N_{ m{p}}}{{ m{d}} t} = left[varGamma v_{ m{g}} g-frac{1}{tau_{ m{p}}} ight] N_{ m{p}}+varGamma R_{ m{sp}}^{prime}. $$ | (4) |
3.2
Small-signal response
Small-signal response of the semiconductor laser can be analyzed by taking the differential of the rate equations Eq. (3) and Eq. (4). By considering
m{p}} $
$$ frac{{ m{d}}}{{ m{d}} t}left[begin{array}{l} { m{d}} N { m{d}} N_{ m{p}} end{array} ight] = left[begin{array}{cc} -gamma_{ m{NN}} & -gamma_{ m{NP}} gamma_{ m{PN}} & -gamma_{ m{PP}} end{array} ight]left[begin{array}{l} { m{d}} N { m{d}} N_{ m{p}} end{array} ight]+frac{eta_{ m{i}}}{q V}left[begin{array}{l} { m{d}} I 0 end{array} ight], $$ | (5) |
with rate coefficients:
$$ begin{align} gamma_{ m{NN}} & = frac{1}{tau_{ Delta{{N}}}}+v_{ m{g}} a N_{ m{p}}, gamma_{ m{NP}} & = frac{1}{varGamma tau_{ m{p}}}-frac{R_{ m{s p}}^{prime}}{N_{ m{p}}}-v_{ m{g}} a_{ m{p}} N_{ m{p}}, gamma_{ m{PN}} & = frac{varGamma}{tau_{ Delta{{N}}}^{prime}}+varGamma v_{ m{g}} a N_{ m{p}}, gamma_{ m{PP}} & = frac{varGamma R_{ m{sp}}^{prime}}{N_{ m{p}}}+varGamma v_{ m{g}} a_{ m{p}} N_{ m{p}}, end{align} $$ | (6) |
where the differential carrier lifetime
$$ begin{align} frac{1}{tau_{ Delta{{N}}}} & = frac{{ m{d}} R_{ m{sp}}}{{ m{d}} N}+frac{{ m{d}} R_{ m{nr}}}{{ m{d}} N}, frac{1}{tau_{ Delta{{N}}}^{prime}} & = frac{{ m{d}} R_{ m{sp}}^{prime}}{{ m{d}} N}. end{align} $$ | (7) |
And
m{p}} - varGamma v_{
m{g}} g = varGamma R_{
m{sp}}^{prime} / N_{
m{p}} $
m{d}}N_{
m{p}}/{
m{d}}t = 0 $
m{d}}g $
$$ { m{d}} g = a { m{d}} N-a_{ m{p}} { m{d}} N_{ m{p}} , $$ | (8) |
where
m{p}} $
Eq. (5) can be extended for multimode small-signal analysis:
$$ begin{split} frac{{ m{d}}}{{ m{d}} t}left[begin{array}{c} { m{d}} N { m{d}} N_{ m{p1}} vdots { m{d}} N_{ m{p}m} end{array} ight] & = left[begin{array}{cccc} -gamma_{ m{NN}} & -gamma_{ m{NP1}} & cdots & -gamma_{ m{NP}m} gamma_{ m{PN1}} & -gamma_{ m{PP1}} & 0 & 0 vdots & 0 & ddots & 0 gamma_{ m{PN}m} & 0 & 0 & -gamma_{ m{PP}m} end{array} ight]left[begin{array}{c} { m{d}} N { m{d}} N_{ m{p1}} vdots { m{d}} N_{ m{p}m} end{array} ight] &quad + frac{eta_{ m{i}}}{q V} left[begin{array}{c} { m{d}} I 0 vdots 0 end{array} ight]. end{split} $$ | (9) |
The three rate coefficients
m{PP}} $
m{PN}} $
m{NP}} $
m{P}} $
m{Pm}} $
m{P}} $
m{NN}} $
In the case of single mode, the small-signal responses
m{d}}N(t) $
m{d}}N_{
m{p}}(t) $
m{d}}I(t) $
$$ begin{align} { m{d}} I(t) & = I_{1} { m{e}}^{j omega t}, { m{d}} N(t) & = N_{1} { m{e}}^{j omega t}, { m{d}} N_{ m{p}}(t) & = N_{ m{p 1}} { m{e}}^{j omega t}. end{align} $$ | (10) |
Thus, Eq. (5) becomes:
$$ left[begin{array}{cc} gamma_{ m{NN}}+j omega & gamma_{ m{NP}} -gamma_{ m{PN}} & gamma_{ m{PP}}+j omega end{array} ight]left[begin{array}{l} N_{1} N_{ m{p1}} end{array} ight] = frac{eta_{ m{i}} I_{1}}{q V}left[begin{array}{l} 1 0 end{array} ight]. $$ | (11) |
The small-signal solutions can be obtained:
$$ N_{1} = frac{eta_{ m{i}} I_{1}}{q V} cdot frac{gamma_{ m{P P}}+j omega}{omega_{ m{R}}^{2}} H(omega) , $$ | (12) |
$$ N_{ m{p1}} = frac{eta_{ m{i}} I_{1}}{q V} cdot frac{gamma_{ m{P N}}}{omega_{ m{R}}^{2}} H(omega) , $$ | (13) |
where the modulation transfer function
$$ H(omega) = frac{omega_{ m{R}}^{2}}{omega_{ m{R}}^{2}-omega^{2}+j omega gamma}, $$ | (14) |
m{R}} $
$$ begin{split} omega_{ m{R}}^{2} & = frac{v_{ m{g}} a N_{ m{p}}}{tau_{ m{p}}}+left[frac{varGamma v_{ m{g}} a_{ m{p}} N_{ m{p}}}{tau_{ Delta{{N}}}}+frac{varGamma R_{ m{sp}}^{prime}}{N_{ m{p}} tau_{ Delta{{N}}}} ight]left(1-frac{tau_{ Delta{{N}}}}{tau_{ Delta{{N}}}^{prime}} ight) & quad +frac{1}{tau_{ Delta{{N}}}^{prime} tau_{ m{p}}}, end{split} $$ | (15) |
$$ gamma = v_{ m{g}} a N_{ m{p}}left[1+frac{varGamma a_{ m{p}}}{a} ight]+frac{1}{tau_{ Delta{{N}}}}+frac{varGamma R_{ m{sp}}^{prime}}{N_{ m{p}}} .$$ | (16) |
3.3
Intensity modulation bandwidth
In practice, for the case of above threshold operating, the first term of Eq. (15) dominates over all other terms[20]. Thus,
m{R}}^{2} $
m{PN}} $
$$ omega_{ m{R}}^{2} approx frac{v_{ m{g}} a N_{ m{p}}}{tau_{ m{p}}} , $$ | (17) |
$$ gamma_{ m{PN}} approx varGamma v_{ m{g}} a N_{ m{p}} = omega_{ m{R}}^{2} varGamma tau_{ m{p}} . $$ | (18) |
With the simplified
m{R}} $
$$ gamma = K f_{ m{R}}^{2}+gamma_{0} , $$ | (19) |
where
m{p}}left[1+ varGamma a_{
m{p}} / {a}
ight] $
m{sp}}^{prime} / {N_{
m{p}}}$
$$ frac{P_{1}}{I_{1}} = eta_{ m{i}} eta_{0} frac{h v}{q} H(omega) , $$ | (20) |
where
m{p1}}V_{
m{p}} / tau_{
m{p}} $
m{R}} $
m{p}}V_{
m{p}} / tau_{
m{p}} $
m{i}} h v (I-I_{
m{th}}) / q $
$$ omega_{ m{R}}^{2} = frac{v_{ m{g}} a}{q V_{ m{p}}} eta_{ m{i}}left(I-I_{ m{th}} ight) . $$ | (21) |
$$ H(f) = dfrac{1}{1+i dfrac{f}{f_{ m{d}}}+left(i dfrac{f}{f_{ m{R}}} ight)^{2}} , $$ | (22) |
where
m{d}} $
m{R}} $
m{d}} $
$$ f_{ m{d}} = frac{2 pi}{K} = frac{1}{2 pi} cdot frac{1}{tau_{ m{p}}left(1+dfrac{varGamma a_{ m{p}}}{a} ight)} , $$ | (23) |
and the resonance frequency is
$$ f_{ m{R}} = frac{1}{2 pi} sqrt{v_{ m{g}} a eta_{ m{i}} frac{I-I_{ m{th}}}{q V_{ m{p}}}} . $$ | (24) |
In order to increase the modulation bandwidth, both
m{R}} $
m{d}} $
m{R}} $
m{d}} $
m{d}} $
$$ f_{3 mathrm{dB}, { m{max}} } = frac{2sqrt{2} pi}{K} = sqrt{2}f_{ m{d}} . $$ | (25) |
Fig. 4 shows the sketch of the modulation transfer function for increasing values of relaxation resonance frequency
m{R}} $
m{d}} $
m{max}} } $
m{p}} $
m{p}} $
m{m}} $
m{max}} } $
m{R}} $
m{R}} $
m{p}} $
onerror="this.onerror=null;this.src='http://www.jos.ac.cn/fileBDTXB/journal/article/jos/2021/4/PIC/20110012-4.jpg'"
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Figure4.
(Color online) The sketch of the modulation transfer function for increasing values of relaxation resonance frequency
m{R}} $
m{d}} $
m{p}} $
m{R}} $
3.4
A review of high-speed DMLs
Over the past few decades, numerous efforts have been made to develop high-speed DMLs, as summarized in Table 4. As discussed above, the most direct methods to increase the modulation bandwidth are to decrease the mode volume
m{p}} $
No. | Year | Structural characteristics | Modulation bandwidth | Citation |
1 | 1993 | GaAs-based MQW laser, increased strain, p-doping and number of QWs, 200-μm short cavity | 30 GHz @ 114 mA | [21] |
2 | 1994 | GaAs-based MQW laser, low cladding layer growth temperature, 100-μm short cavity | 33 GHz @ 65 mA | [22] |
3 | 1995 | GaAs-based MQW laser, carbon doped active region, 130-μm short cavity | 37 GHz @ 160 mA | [23] |
4 | 1996 | GaAs-based MQW laser, asymetric cladding layer growth temperature, modified doping sequence, 130-μm short cavityx | 40 GHz @ 155 mA | [24] |
5 | 1997 | 1.55-μm InGaAlAs-InGaAsP MQW laser with strain compensation, 120-μm short cavity | 30 GHz @ 100 mA | [25] |
6 | 2009 | 1.3-μm InGaAlAs MQW semi-insulating buried-heterostructure DFB laser, 150-μm short cavity | fR = 20.5 GHz @ ~60 mA | [27] |
7 | 2011 | Uncooled 1.3-μm InGaAlAs MQW ridge waveguide DFB laser, 160-μm short cavity | 14 GHz @ 95 °C 60 mA | [28] |
8 | 2011 | 1.3-μm InGaAlAs MQW semi-insulating buried-heterostructure DR laser, 100-μm short cavity | fR = 25 GHz @ 40 mA | [29] |
9 | 2012 | 1.3-μm InGaAlAs MQW ridge waveguide DFB laser with passive waveguide, 150-μm short cavity | 30 GHz @ 45 mA | [14] |
10 | 2013 | 1.3-μm InGaAlAs-based MQW ridge waveguide DFB laser, 150-μm short cavity | 34 GHz @ 60 mA | [30] |
11 | 2015 | 1.3-μm InGaAlAs MQW semi-insulating buried-heterostructure DR laser array, 125-μm short cavity | 30 GHz @ 80 mA | [31] |
12 | 1997 | 1.55-μm two-section InGaAsP MQW DBR-laser, with detuned loading effect | 30 GHz @ 130 mA | [32] |
13 | 2005 | Three-section InGaAsP DBR laser, with detuned loading effect and PPR effect | 37 GHz @ 172 mA | [33] |
14 | 2007 | 1.55-μm InGaAsP MQW passive-feedback DFB laser, with PPR effect | 29 GHz @ 40 mA | [34] |
15 | 2011 | 1.3/1.5-μm InGaAsP MQW passive-feedback DFB laser, with PPR effect | 37 GHz @ 70 mA | [35] |
16 | 2011 | 1.55-μm InGaAsP MQW passive-feedback DFB laser, with PPR effect | 34 GHz @ 60 mA | [36] |
17 | 2016 | 1.55-μm InGaAlAs MQW optically controlled external cavity laser, with PPR effect | 59 GHz | [37] |
18 | 2017 | 1.3-μm InGaAlAs MQW short-cavity DR laser, with detuned loading effect and PPR effect | 55 GHz @ 36.2 mA | [38] |
19 | 2018 | 1.3-μm InGaAlAs MQW short-cavity active DR laser, with detuned loading effect | 24 GHz @ 60 mA | [39] |
20 | 2020 | 1.3-μm InGaAlAs MQW lateral-current-injection membrane DR laser on SIC substrate, with detuned DBR and PPR effect | 108 GHz @ 27 mA | [16] |
21 | 2020 | 1.3-μm DFB+R laser, with detuned loading effect and PPR effect | 65 GHz | [17] |
22 | 2020 | 1.3-μm DFB+R laser, with detuned loading effect and PPR effect | 75 GHz @ 65 mA | [40] |
Table4.
Reported stare-of-the-art works of DMLs.
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No. | Year | Structural characteristics | Modulation bandwidth | Citation |
1 | 1993 | GaAs-based MQW laser, increased strain, p-doping and number of QWs, 200-μm short cavity | 30 GHz @ 114 mA | [21] |
2 | 1994 | GaAs-based MQW laser, low cladding layer growth temperature, 100-μm short cavity | 33 GHz @ 65 mA | [22] |
3 | 1995 | GaAs-based MQW laser, carbon doped active region, 130-μm short cavity | 37 GHz @ 160 mA | [23] |
4 | 1996 | GaAs-based MQW laser, asymetric cladding layer growth temperature, modified doping sequence, 130-μm short cavityx | 40 GHz @ 155 mA | [24] |
5 | 1997 | 1.55-μm InGaAlAs-InGaAsP MQW laser with strain compensation, 120-μm short cavity | 30 GHz @ 100 mA | [25] |
6 | 2009 | 1.3-μm InGaAlAs MQW semi-insulating buried-heterostructure DFB laser, 150-μm short cavity | fR = 20.5 GHz @ ~60 mA | [27] |
7 | 2011 | Uncooled 1.3-μm InGaAlAs MQW ridge waveguide DFB laser, 160-μm short cavity | 14 GHz @ 95 °C 60 mA | [28] |
8 | 2011 | 1.3-μm InGaAlAs MQW semi-insulating buried-heterostructure DR laser, 100-μm short cavity | fR = 25 GHz @ 40 mA | [29] |
9 | 2012 | 1.3-μm InGaAlAs MQW ridge waveguide DFB laser with passive waveguide, 150-μm short cavity | 30 GHz @ 45 mA | [14] |
10 | 2013 | 1.3-μm InGaAlAs-based MQW ridge waveguide DFB laser, 150-μm short cavity | 34 GHz @ 60 mA | [30] |
11 | 2015 | 1.3-μm InGaAlAs MQW semi-insulating buried-heterostructure DR laser array, 125-μm short cavity | 30 GHz @ 80 mA | [31] |
12 | 1997 | 1.55-μm two-section InGaAsP MQW DBR-laser, with detuned loading effect | 30 GHz @ 130 mA | [32] |
13 | 2005 | Three-section InGaAsP DBR laser, with detuned loading effect and PPR effect | 37 GHz @ 172 mA | [33] |
14 | 2007 | 1.55-μm InGaAsP MQW passive-feedback DFB laser, with PPR effect | 29 GHz @ 40 mA | [34] |
15 | 2011 | 1.3/1.5-μm InGaAsP MQW passive-feedback DFB laser, with PPR effect | 37 GHz @ 70 mA | [35] |
16 | 2011 | 1.55-μm InGaAsP MQW passive-feedback DFB laser, with PPR effect | 34 GHz @ 60 mA | [36] |
17 | 2016 | 1.55-μm InGaAlAs MQW optically controlled external cavity laser, with PPR effect | 59 GHz | [37] |
18 | 2017 | 1.3-μm InGaAlAs MQW short-cavity DR laser, with detuned loading effect and PPR effect | 55 GHz @ 36.2 mA | [38] |
19 | 2018 | 1.3-μm InGaAlAs MQW short-cavity active DR laser, with detuned loading effect | 24 GHz @ 60 mA | [39] |
20 | 2020 | 1.3-μm InGaAlAs MQW lateral-current-injection membrane DR laser on SIC substrate, with detuned DBR and PPR effect | 108 GHz @ 27 mA | [16] |
21 | 2020 | 1.3-μm DFB+R laser, with detuned loading effect and PPR effect | 65 GHz | [17] |
22 | 2020 | 1.3-μm DFB+R laser, with detuned loading effect and PPR effect | 75 GHz @ 65 mA | [40] |
To increase the differential gain, Ralston et al.[21] systematically investigated the influence the three structural modifications: (1) the addition of strain in the quantum wells (QWs); (2) an increase in the number of quantum wells; and (3) the addition of p-doping in the quantum wells. Here, we repeat the important conclusion: the differential gain can be increased both by the addition of strained QWs and by an increase in the number of QWs, yielding substantial improvements in modulation bandwidth at a given drive current. However, in both cases, the increased differential gain is offset by corresponding increases in the nonlinear gain coefficient, leading to relatively constant values of K and hence little variation in the K-limited bandwidth. The addition of p-doping, on the other hand, leads simultaneously to an increase in differential gain and a decrease in K. Based on these guidelines, a series of performance enhanced multiple-quantum-well (MQW) lasers were reported including increased strain and p-doping level, more quantum wells, optimized growth process, and optimized etching process[22–25]. With a short-cavity structure, up to 40 GHz direct modulation bandwidth was achieved. On the other hand, compared to the conventional InGaAsP, the InGaAlAs material system has better electron confinement due to its large conduction band offset, which leads to an increase in the differential gain[26]. Thus, InGaAlAs-based high-speed DMLs have attracted a lot of attention[14, 27–31]. Both ridge waveguide structure[14, 28, 30] and semi-insulating buried-heterostructure[27, 29, 31] have been demonstrated for high-speed and uncooled DMLs. It can be seen that for short-cavity structures, the achievable modulation bandwidth is limited (< 40 GHz), mainly due to the
m{max}} } $
To overcome the K-limited bandwidth (
m{max}} } $
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Figure5.
(Color online) Schematics of different types of coupled-cavity lasers. (a) Two-section DBR laser. ? [1998] IEEE. Reprinted, with permission, from Ref. [41]. (b) Passive feedback laser. ? (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Reprinted, with permission, from Ref. [35]. (c) DFB+R laser. Reprinted with permission from Ref. [17] ? The Optical Society. (d) DR laser. ? [2017] IEEE. Reprinted, with permission, from Ref. [38]. HR: high-reflection coating, 3%: 3%-reflection coating, AR: anti-reflection coating.
onerror="this.onerror=null;this.src='http://www.jos.ac.cn/fileBDTXB/journal/article/jos/2021/4/PIC/20110012-6.jpg'"
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Figure6.
(Color online) (a) Example of the detuned loading and PPR in a two-section DBR laser: round trip gain (blue curve) and phase (red dashed curve) function at the DBR threshold. The squared red marker represents the lasing mode; the blue markers indicate nonlasing cavity modes. The green asterisks on the reflectivity curve represent the modes locations in the maximum detuned loading condition. ? [2013] IEEE. Reprinted, with permission, from Ref. [42]. (b) Example of the detuned loading in a DFB+R laser: in-cavity etalon profile for DFB+R with 3% coating (red), passive feedback laser (PFL) with HR coating (black), and the stopband of the DFB section (blue). Reprinted with the permission from the authors of Ref. [40].
As for the PPR effect, the passive feedback cavity reflects the light emitting from the rear facet of the active section and re-injects back to the active section. The passive cavity length is carefully designed so that the passive feedback cavity creates side PPR modes, which are located next to the lasing mode, as shown in Fig. 6(a) and Fig. 7(a). When the reflected light is in phase with the active section, the photons generated in the high frequency region is resonantly amplified by in the side modes, leading to another resonance in the frequency response, which can significantly enhance the modulation bandwidth, as shown in Fig. 7(b). With the passive feedback cavity, the PPR effect can always be obtained by carefully design. It is possible to combine the short cavity, the detuned loading effect, and the PPR effect to drastically enhance the modulation bandwidth to over 100 GHz[16]. The lateral-current-injection membrane DR laser in Ref. [16] consists of an very short (50 μm) DFB active section, a 60-
onerror="this.onerror=null;this.src='http://www.jos.ac.cn/fileBDTXB/journal/article/jos/2021/4/PIC/20110012-7.jpg'"
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Figure7.
(Color online) (a) Measured lasing spectrum at 27 mA with using PPR. (b) Measured small-signal responses of the laser at various bias currents, with using PPR. (c) Measured lasing spectrum at 27 mA without using PPR. (d) Measured small-signal responses of the laser at various bias currents, without using PPR. The laser has a 50-μm-long active section, and the response of –3 dB is marked by a dashed horizontal grey line. Reprinted by permission from Springer Nature, Nature Photonics[16], 2021.
4.
Discussion
Since the first generation of optical communications, IM/DD technology has always been the core part of an optical fiber communication network. However, about ten years ago, the coherent optical communication technology has rapidly replaced IM/DD solutions in core/metropolitan area networks. Because the coherent detection scheme is applicable to all modulation formats, and can demodulate orthogonal polarization signals, which improves the spectral efficiency. Moreover, due to the use of the local oscillator signal, the receiver sensitivity of the coherent detection far exceeds that of the direct detection scheme, which enables long-distance communication. However, both the configuration and the DSP of the coherent communication system are complicated and expensive. Thus, the IM/DD solutions are superior for high-speed optical short-reach links because in this case low-cost is highly required. As the achievable data rate and the transmission distance of the IM/DD system increases, the division boundary becomes increasingly blurred in the application era of 200G and beyond. In order to meet the requirements of speed, cost, power consumption,and volume, research and development efforts are being carried out in three main aspects: modulation format, DSP, and modulation bandwidth. Powerful DSP and coding modulation techniques can be combined to optimize the spectrum efficiency and transmission performance. In Ref. [47], by utilizing discrete multitone (DMT) modulation and a nonlinearity-tolerant channel equalization algorithm for DSP, a 114-Gb/s high data rate is achieved based on a directly-modulated single-mode long-wavelength VCSEL whose modulation bandwidth is 22 GHz, which is not very broad. This approach reduces the requirement for the modulation bandwidth, which makes applying low-cost VCSELs in the beyond 100 Gbaud DML-based IM/DD system promising. To further improve the data rate, spatial division multiplexing (SDM) combined with DML-based IM/DD system is recognized as a promising technology[48]. Kerrebrouck et al.[49] experimentally achieved the total data rate of 100 × 7 Gb/s over both 1-km dispersion-uncompensated and 10-km dispersion-compensated seven-core fibers by using a 1.5-
Year | Modulation device | Line rate (Gb/s) | Modulation format | Link | Band (nm) | FEC threshold | DSP |
2016[50, 51]* | 59-GHz LE-TWEAM-DFB | 214 | PAM-4 | 10-km SMF | 1305 | 3.8 × 10–3 | FFE |
2016[52, 53] | 55-GHz EAMDFB | 300 | DMT | 10-km SMF | 1305 | 2.7 × 10–2 | AMUX |
2017[54] | 40-GHz DFB+MZM | 200 | PAM-4 | 0.5-km SSMF | 1545 | 3.8 × 10–3 | MLSD |
2017[55] | 100-GHz DFB-TWEAM | 200 | PAM-4 | 0.4-km SMF | 1550 | 2 × 102 | DFE |
2017[56] | 100-GHz DFB-TWEAM | 209/200 | DMT | 0.8-km SMF/ 1.6-km SMF | 1550 | 2.7 × 10–2 | TD-NE |
2018[57] | 54-GHz DFB+MZM | 200/300 | PAM-4/PAM-8 | 1.2-km SMF | 1550 | 3.8 × 10–3/ 2.7 × 10–2 | FDE |
2018[58] | 100-GHz DFB-TWEAM | 204 | OOK | 10-km SMF+DCF | 1550 | 3.8 × 10–3 | FFE, MAP |
2018[59] | 30-GHz CW+MZM | 224 | DMT | 1-km SMF | C-band | 3.8 × 10–3 | NLE |
2018[60] | 32-GHz CW+MZM | 225 | DB PAM-6 | btb | C-band | 3.8 × 10–3 | NFFE, NC, MLSE |
2018[61] | 100-GHz DFB-TWEAM | 200 | DMT | 1.6-km SSMF | 1550 | 2.7 × 10–2 | TD-NE |
2019[62] | 100-GHz DFB-TWEAM | 330 | DMT-128QAM | 0.4-km SMF | C-band | 2.7 × 10–2 | Lattice pilot algorithm for CE |
2019[63] | 100-GHz DFB-TWEAM | 204 | OOK | 10-km SMF | 1550 | 3.8 × 10–3 | LFFE |
2019[64] | 40-GHz CW+MZM | 200 | PAM-4 | 40-km SMF | 1550 | 3.8 × 10–3 | Volterra |
2019[65] | 65-GHz ECL+CC-SOH MZM | 200 | PAM-4 | btb | 1550 | 2.7 × 10–2 | – |
2019[66] | 22.5-GHz ECL+TW-MZM | 200 | PAM-6 | btb | 1547 | 2.7 × 10–2 | PF, MLSD |
2019[67] | 30-GHz CW+MZM | 240 | 3D DB PAM-8 | btb | 1551 | 3.8 × 10–3 | 3D mapping, Volterra |
2019[68] | 40-GHz EML | 260 | PS-PAM-8 | 1-km NZDSF | 1538 | 2.7 × 10–2 | Pre-EQ clipping |
2019[69] | 30-GHz CW+DDMZM | 255 | PAM-8 | btb | 1309 | 3.8 × 10–3 | NL-MLSE |
2019[70] | 40-GHz EML | 204.75 | PAM-8 | 1-km SMF | 1538 | 2.7 × 10–2 | FFE, LUT, ANF |
2020[4] | 100-GHz DFB+TWEAM | 200 | PAM-4 | 0.4-km SMF | 1550 | 2.7 × 10–2 | FFE, DFE |
2020[71] | 100-GHz DML | 321 | DMT | 2-km SMF | 1295 | 2.7 × 10–2 | Linear Wiener filter, Volterra |
2020[17] | 65-GHz DML | 411/368 | DMT | 0/15-km SSMF | 1313 | 2.7 × 10–2 | LMS |
* The first 200 Gb/s IM/DD transmission with a single-polarization single-wavelength. |
Table5.
Reported state-of-the-art works with beyond 200 Gb/s per channel IM/DD transmissions.
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Year | Modulation device | Line rate (Gb/s) | Modulation format | Link | Band (nm) | FEC threshold | DSP |
2016[50, 51]* | 59-GHz LE-TWEAM-DFB | 214 | PAM-4 | 10-km SMF | 1305 | 3.8 × 10–3 | FFE |
2016[52, 53] | 55-GHz EAMDFB | 300 | DMT | 10-km SMF | 1305 | 2.7 × 10–2 | AMUX |
2017[54] | 40-GHz DFB+MZM | 200 | PAM-4 | 0.5-km SSMF | 1545 | 3.8 × 10–3 | MLSD |
2017[55] | 100-GHz DFB-TWEAM | 200 | PAM-4 | 0.4-km SMF | 1550 | 2 × 102 | DFE |
2017[56] | 100-GHz DFB-TWEAM | 209/200 | DMT | 0.8-km SMF/ 1.6-km SMF | 1550 | 2.7 × 10–2 | TD-NE |
2018[57] | 54-GHz DFB+MZM | 200/300 | PAM-4/PAM-8 | 1.2-km SMF | 1550 | 3.8 × 10–3/ 2.7 × 10–2 | FDE |
2018[58] | 100-GHz DFB-TWEAM | 204 | OOK | 10-km SMF+DCF | 1550 | 3.8 × 10–3 | FFE, MAP |
2018[59] | 30-GHz CW+MZM | 224 | DMT | 1-km SMF | C-band | 3.8 × 10–3 | NLE |
2018[60] | 32-GHz CW+MZM | 225 | DB PAM-6 | btb | C-band | 3.8 × 10–3 | NFFE, NC, MLSE |
2018[61] | 100-GHz DFB-TWEAM | 200 | DMT | 1.6-km SSMF | 1550 | 2.7 × 10–2 | TD-NE |
2019[62] | 100-GHz DFB-TWEAM | 330 | DMT-128QAM | 0.4-km SMF | C-band | 2.7 × 10–2 | Lattice pilot algorithm for CE |
2019[63] | 100-GHz DFB-TWEAM | 204 | OOK | 10-km SMF | 1550 | 3.8 × 10–3 | LFFE |
2019[64] | 40-GHz CW+MZM | 200 | PAM-4 | 40-km SMF | 1550 | 3.8 × 10–3 | Volterra |
2019[65] | 65-GHz ECL+CC-SOH MZM | 200 | PAM-4 | btb | 1550 | 2.7 × 10–2 | – |
2019[66] | 22.5-GHz ECL+TW-MZM | 200 | PAM-6 | btb | 1547 | 2.7 × 10–2 | PF, MLSD |
2019[67] | 30-GHz CW+MZM | 240 | 3D DB PAM-8 | btb | 1551 | 3.8 × 10–3 | 3D mapping, Volterra |
2019[68] | 40-GHz EML | 260 | PS-PAM-8 | 1-km NZDSF | 1538 | 2.7 × 10–2 | Pre-EQ clipping |
2019[69] | 30-GHz CW+DDMZM | 255 | PAM-8 | btb | 1309 | 3.8 × 10–3 | NL-MLSE |
2019[70] | 40-GHz EML | 204.75 | PAM-8 | 1-km SMF | 1538 | 2.7 × 10–2 | FFE, LUT, ANF |
2020[4] | 100-GHz DFB+TWEAM | 200 | PAM-4 | 0.4-km SMF | 1550 | 2.7 × 10–2 | FFE, DFE |
2020[71] | 100-GHz DML | 321 | DMT | 2-km SMF | 1295 | 2.7 × 10–2 | Linear Wiener filter, Volterra |
2020[17] | 65-GHz DML | 411/368 | DMT | 0/15-km SSMF | 1313 | 2.7 × 10–2 | LMS |
* The first 200 Gb/s IM/DD transmission with a single-polarization single-wavelength. |
Based on the discussion in section 3, a clear route of improving the modulation bandwidth of DMLs can be seen. In terms of materials, the main effort is to increase the differential gain and to reduce the gain nonlinearity. Hence, a InGaAlAs material system is preferred for high-speed DMLs. In terms of laser structure, two main approaches are taken: (1) short-cavity structure and (2) DFB-based (or DBR-based) coupled-cavity structure. With the short active section, the mode volume can be compressed effectively. Thus, the relaxation resonance frequency is increased. However, due to the
5.
Conclusion
In this paper, the prospects, challenges, and future development of DMLs in the applications of future data centers and 5G fronthaul networks are comprehensively explored. The data rate demands and technical standards of the data centers and 5G fronthaul are reviewed in detail. Based on the modulation bandwidth requirements, the technical routes and achievements of recent DMLs are reviewed and discussed. It can be seen that applying DML-based IM/DD system in future data centers and 5G fronthaul networks to fulfill 100 Gbaud data rate is very promising.
Acknowledgements
J. Huang and C. Li contributed equally to the paper. This work is supported by Open Fund of the State Key Laboratory of Optoelectronic Materials and Technologies; The International Cooperation Project of Sichuan Province; Sichuan Science and Technology Program (2020YFH0108); NWO Zwaartekracht program on Integrated Nanophotonics; ZJU-TU/e IDEAS project; and Key Research and Development Program of China (2018YFE0201000); Anhui Provincial Natural Science Foundation of China (1808085MF186).