杨龙祥2,
鲍楠1,
卢官明2
1.南京邮电大学物联网学院 ??南京 ??210023
2.南京邮电大学通信与信息工程学院 ??南京 ??210023
基金项目:江苏省博士后基金(SBH17024)，江苏省高校自然科学基金(15KJB510026)，江苏省自然科学基金(BK20150866)，南京邮电大学引进人才基金(NY215046, NY217056)，国家自然科学基金(61801237, 61701255)
详细信息
作者简介:左加阔：男，1985年生，讲师，研究方向为云无线接入网络资源管理和干扰抑制等
杨龙祥：男，1966年生，教授，研究方向为移动无线通信和物联网等
鲍楠：女，1985年生，讲师，研究方向为异构网络资源优化和干扰抑制等
卢官明：男，1965年生，教授，研究方向为信息处理、模式识别等
通讯作者:左加阔 zuojiakuo@njupt.edu.cn
中图分类号:TN929.53计量
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被引次数:0
出版历程
收稿日期:2018-03-07
修回日期:2018-08-16
网络出版日期:2018-08-29
刊出日期:2018-12-01
Energy Efficient Joint Power Allocation and Beamforming for Cloud Radio Access Network
Jiakuo ZUO1, 2,,,Longxiang YANG2,
Nan BAO1,
Guanming LU2
1. College of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2. College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Funds:The Postdoctoral Fund of Jiangsu Province (SBH17024), The Jiangsu University of Natural Science Foundation (15KJB510026), The Natural Science Foundation of Jiangsu Province (BK20150866), The Introduction of Talent Fund of Nanjing University of Posts and Telecommunications (NY215046, NY217056), The National Natural Science Fundation of China (61801237, 61701255)
摘要
摘要:针对云无线接入网络(C-RAN)的资源分配问题，该文采用max-min公平准则作为优化准则，以C-RAN用户的能量效率作为优化目标函数，在满足最大发射功率和最小传输速率约束条件下，通过最大化最差链路的能量效率来实现用户发射功率和无线远端射频单元(RRHs)波束成形向量的联合优化。上述优化问题属于非线性、分式规划问题，为了方便求解，首先将原优化问题转化为差分形式的优化问题，然后通过引入变量将差分形式的、非平滑优化问题转化为平滑优化问题。最终，提出一种双层迭代功率分配和波束成形算法。在仿真实验中，将该文算法与传统的非能效资源分配算法和能量效率最大化算法进行了比较，实验结果证明该文算法在改进C-RAN能量效率和提高资源分配公平性方面的有效性。
关键词:云无线接入网络/
能量效率/
功率分配/
波束成形
Abstract:The resource allocation for Cloud Radio Access Network (C-RAN) is investigated. The max-min fairness criterion is used as the optimization criterion and the Energy Efficiency (EE) of C-RAN users is taken as the optimization objective function, by maximizing the EE of the worst link under the constraints of maximum transmit power and minimum transmit rate, the user transmit power and Remote Radio Heads (RRHs) beamforming vectors are jointly optimized. The above optimization problem belongs to the nonlinear and fractional programming problem. First, the original nonconvex optimization problem is transformed into an equivalent optimization problem in subtractive form. Then, by introducing a new variable, non-smooth equivalent optimization problem is transformed into a smooth optimization problem. Finally, a two-layer iterative power allocation and beamforming algorithm is proposed. The proposed algorithm is compared with traditional non-EE resource allocation algorithm and EE maximization algorithm. The experimental results show that the proposed algorithm is effective in improving the EE and the fairness of resource allocation.
Key words:Cloud Radio Access Network (C-RAN)/
Energy efficiency/
Power allocation/
Beamforming
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https://jeit.ac.cn/article/exportPdf?id=0c005836-91e5-486d-92a9-e017e044decb
