Pilot reuse and power control of D2D underlaying massive MIMO systems for energy efficiency optimization

查看全文 作　　者：Shenghao [1]XU;Haixia [1]ZHANG;Jie [2]TIAN;P.Takis [3]MATHIOPOULOS

机构地区：[1]Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan 250100, China;[2]School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China;[3]Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, 15784 Athens, Greece

出　　处：《Science China(Information Sciences)》索引2017年第60卷第10期,共15页

基　　金：supported by National Natural Science Foundation of China(Grant Nos.61371109,61671278);National Science Foundation for Excellent Young Scholars of China(Grant No.61622111);Shandong Provincial Natural Science Foundation for Young Scholars of China(Grant No.ZR2017QF008) 摘　　要：It is predicted that there will be billions of machine type communication(MTC) devices to be deployed in near future. This will certainly cause severe access congestion and system overload which is one of the major challenges for the proper operation of 5G networks. Adopting device-to-device(D2D) communications into massive multiple-input multiple-output(MIMO) systems has been considered as a potential solution to alleviate the overload of MTC devices by offloading the MTC traffic onto D2 D links. This work proposes a novel pilot reuse(PR) and power control(PC) for energy efficiency(EE) optimization of the uplink D2 D underlaying massive MIMO cellular systems. Although the use of large scale antenna array at the base station(BS) can eliminate most of the D2D-to-Cellular interference, the Cellular-to-D2 D interference and the channel estimation error caused by PR will remain significant. Motivated by this, and in order to reduce the channel estimation error, in this paper a novel heuristic PR optimum pilot reuse scheme is proposed for D2 D transmitters(D2DTs)selection. By taking into account the interference among users as well as the overall power consumption, the overall system EE is maximized through power optimization while maintaining the quality-of-service(Qo S)provisions for both cellular users(CUEs) and D2 D pairs. The power optimization problem is modeled as a non-cooperative game and, as such, a distributed iterative power control algorithm which optimizes users' power sequentially is proposed. Various performance evaluation results obtained by means of computer simulations have shown that the proposed PR scheme and PC algorithm can significantly increase the overall system EE. 关键词：MIMO系统功率控制算法节能优化复用导频信道估计误差多输入多输出手机用户

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Pilot reuse and power control of D2D underlaying massive MIMO systems for energy efficiency optimization

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