论文标题
在大型MIMO系统中通过联合波束形成和电源分配的FD D2D通信
Underlaid FD D2D Communications in Massive MIMO Systems via Joint Beamforming and Power Allocation
论文作者
论文摘要
本文研究了将上述全双工（FD）设备对设备（D2D）通信纳入大规模多输入 - 元素输出（MIMO）下行链路系统的好处。由于细胞下行链路和FD D2D传播的性质，由于基础站（BSS）和D2D收发器引起的高干扰，细胞和D2D服务的性能严重受损。结果，将大量的D2D链接集成到退出蜂窝网络可能会降低系统性能。为了克服这一挑战，利用BSS配备的大均匀线性阵列（ULA），我们提出了平均总和速率最大化的联合波束成形和功率分配设计，同时考虑了干扰对细胞和D2D传输的影响。问题公式导致了非convex矢量变量优化问题，在该问题中，我们使用基于分数编程（FP）方法开发有效的解决方案。数值结果表明，在足够高的自我干扰取消（SIC）水平和活动D2D链路的数量下，FD D2D传输与在没有D2D的情况下的半完美（HD）对应物和纯蜂窝系统相比，提供了显着的总和率。
This paper studies the benefits of incorporating underlaid full-duplex (FD) device-to-device (D2D) communications into massive multiple-input-multiple-output (MIMO) downlink systems. Due to the nature of cellular downlink and FD D2D transmission, the performances of cellular and D2D services are severely impaired due to high interference caused by base-stations (BSs) and D2D transceivers. As a consequence, integrating a large number of D2D links into exiting cellular networks might degrade the system performances. To overcome this challenge, utilizing the large uniform linear array (ULA) equipped at BSs, we propose a joint beamforming and power allocation design for average sum-rate maximization while considering the effects of interference to both cellular and D2D transmission. The problem formulation leads to a nonconvex vector-variable optimization problem, where we develop an efficient solution using a fractional programming (FP) based approach. Numerical results show that, at sufficiently high self-interference cancellation (SIC) levels and numbers of active D2D links, the FD D2D transmission provides a significant sum-rate improvement as compared to the half-duplex (HD) counterpart and pure cellular systems in absence of D2D.
