谢豪1,
陈前斌1,,,
刘期烈1
1.重庆邮电大学通信与信息工程学院 重庆 400065
2.移动通信技术重庆市重点实验室 重庆 400065
基金项目:国家自然科学基金(61601071, 62071078)，重庆市自然科学基金(cstc2019jcyj-xfkxX0002)，重庆研究生科研创新项目(CYS20253, CYS20251)，重庆市科技创新领军人才支持基金 (CSTCCXLJRC201908)，重庆市自然基金重点资助项目(2019jcyj-zdxmX0008)
详细信息
作者简介:徐勇军：男，1986年生，副教授，硕士生导师，研究方向为资源分配、异构无线网络、硬件损伤通信
谢豪：男，1997年生，硕士生，研究方向为硬件损伤通信、异构网络资源分配
陈前斌：男，1967年生，教授，博士生导师，研究方向为无线通信、多媒体信息传输与处理
刘期烈：男，1974年生，教授，硕士生导师，研究方向为无线传感器网络、卫星通信
通讯作者:陈前斌 chenqb@cqupt.edu.cn
中图分类号:TN929.5计量
文章访问数:96
HTML全文浏览量:59
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被引次数:0
出版历程
收稿日期:2020-09-01
修回日期:2021-09-22
网络出版日期:2021-10-27
刊出日期:2021-12-21
Beamforming Algorithm for MIMO-based Heterogeneous Networks with Hardware Impairments
Yongjun XU1, 2,Hao XIE1,
Qianbin CHEN1,,,
Qilie LIU1
1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2. Chongqing Key Laboratory of Mobile Communication Technology, Chongqing 400065, China
Funds:The National Natural Science Foundation of China (61601071, 62071078), Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002), The Graduate Scientific Research Innovation Project of Chongqing (CYS20253, CYS20251), The Chongqing Science and Technology Innovation Leading Talent Support Program (CSTCCXLJRC201908), The Basic and Advanced Research Projects of CSTC (2019jcyj-zdxmX0008)
摘要
摘要:由于多输入多输出(MIMO)异构网络能够提高系统容量和实现更多的用户接入，因此受到了学术界和工业界的广泛关注，从而成为下一代通信系统的关键技术之一。然而，由于放大器非线性、相位噪声和I/Q不均衡等因素的影响，这类硬件损伤成为制约当前MIMO异构网络波束成形性能进一步提升的瓶颈。为了解决该问题，该文提前将硬件损伤考虑到MIMO异构网络波束成形算法设计当中。首先，考虑了每个基站的最大发射功率约束和每个用户的最小信干噪比约束，建立了一个含硬件损伤参数的系统总能耗最小的资源优化问题。其次，利用等价变换和半正定松弛方法，将原非凸问题转化为凸优化问题进行求解。仿真结果表明，与完美硬件条件下的波束成形算法对比，所提算法具有较好的抗硬件损伤能力和较低的中断概率。
关键词:异构网络/
多输入多输出/
硬件损伤/
波束成形/
能耗最小化
Abstract:Multiple-Input Multiple-Output (MIMO)-based Heterogeneous Network (HetNet) can improve system capacity and achieve more connectivity, which is dramatically concerned by academia and industry. Therefore, it becomes one of the key technologies in the next-generation communication system. However, due to the effect of factors such as amplifier nonlinearities, phase noise, and I/Q imbalance, these impairments become the bottlenecks for further improving the performance of beamforming in MIMO-based HetNets. In order to solve this problem, this paper studies the beamforming design in MIMO-based HetNets by considering hardware impairments ahead of time. Firstly, the resource allocation problem is formulated as the total transmit power minimization of the system with hardware impairments under the constraints of the maximum transmit power of each base station and the minimum signal-to-interference-plus-noise ratio of each user. Then, the original non-convex problem is transformed into an equivalent convex optimization problem by using the methods of the equivalent transformation and the semidefinite programming relaxation. Simulation results verify that the proposed algorithm has a low outage probability and can overcome the impact of hardware impairments by comparing it with the traditional beamforming algorithm with perfect hardware.
Key words:Heterogeneous Networks (HetNet)/
Multiple-Input Multiple-Output (MIMO)/
Hardware impairments/
Beamforming/
Power consumption minimization
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