Joint Transceiver Design for Fully-Duplex Cloud-Access DEINs

Qin Yu, Junliang Yu, Jie Hu, Kun Yang, Taijun Wang, Rongsheng Ding
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Abstract

With the rapid development of communication technology, the demand of rate of communication network is higher and higher, and the problem of energy consumption is becoming more and more serious. Data and Energy Integrated communication Networks (DEINs) can simultaneously transmit information and energy for the terminal, which greatly improves the convenience of the terminal and makes devices without batteries possible in future. This paper studies the joint design of transceivers in a full-duplex cloud access number-integrated network. The system model considers both upstream and downstream users. Considering the need for joint resource allocation for system uplink and downlink, full-duplex technology and self-interference caused by full-duplex technology are considered into the system. The optimization goal of this problem is to minimize the total power consumption under the uplink and downlink SINR and EH constraints. For this non-convex optimization problem, An algorithm combining ZF beamforming and MRT beamforming is proposed. In the hybrid beamforming algorithm, the zero-forcing (ZF) beamformer and MRT beamformer are linearly combined, which simplifies the optimization of the downlink beam vector to the optimization of the combination ratio. The proposed algorithm is simulated. Simulation results show that the power consumed in the half-duplex scenario is higher than that in the full duplex scenario. The time spent in the hybrid beamforming algorithm does not change with the increase in the number of RRH antennas.
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全双工云接入dein的联合收发器设计
随着通信技术的飞速发展,对通信网络速率的要求越来越高,能耗问题也越来越严重。数据与能量集成通信网络(DEINs)可以同时为终端传输信息和能量,大大提高了终端的便利性,使未来无电池设备成为可能。研究了全双工云接入数字集成网络中收发器的联合设计。系统模型同时考虑了上游和下游用户。考虑到系统上下行链路需要联合资源分配,系统中考虑了全双工技术和全双工技术带来的自干扰。该问题的优化目标是在上行链路和下行链路SINR和EH约束下使总功耗最小。针对这一非凸优化问题,提出了一种ZF波束形成和MRT波束形成相结合的算法。在混合波束形成算法中,零强迫(zero-forcing, ZF)波束形成器与MRT波束形成器线性组合,将下行波束矢量的优化简化为组合比的优化。对该算法进行了仿真。仿真结果表明,半双工场景下的功耗要高于全双工场景。混合波束形成算法所花费的时间不随RRH天线数量的增加而变化。
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