In this paper, the spectral efficiency of network assisted full-duplex communications (NAFD) in cell-free (CF) massive multiple-input multiple-output (MIMO) network with imperfect channel state information is investigated under spatial correlated channels. Based on large dimensional random matrix theory, the deterministic equivalents for the uplink sum-rate with minimum-mean-square-error receiver as well as the downlink sum-rate with zero-forcing and regularized zero-forcing beamforming are presented. Numerical results show that under various environmental settings, the deterministic equivalents are accurate in both a large-scale system and system with a finite number of antennas. It is also shown that with the downlink-to-uplink interference cancellation, the uplink spectral efficiency of CF massive MIMO with NAFD could be improved. The spectral efficiencies of NAFD with different duplex configurations such as in-band full-duplex, and half-duplex are compared. With the same total numbers of transmit and receive antennas, NAFD with half-duplex remote antenna units offers a higher spectral efficiency. To alleviate the uplink-to-downlink interference, a novel genetic algorithm based user scheduling strategy (GAS) is proposed. Simulation results show that the achievable downlink sum-rate by using the GAS is greatly improved compared to that by using the random user scheduling.

中文翻译：

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无蜂窝大规模 MIMO 的网络辅助全双工性能

在本文中，研究了在空间相关信道下具有不完善信道状态信息的无蜂窝（CF）大规模多输入多输出（MIMO）网络中网络辅助全双工通信（NAFD）的频谱效率。基于大维随机矩阵理论，给出了具有最小均方误差接收机的上行链路和速率以及具有迫零和正则化迫零波束成形的下行链路和速率的确定性等价物。数值结果表明，在各种环境设置下，确定性等价物在大规模系统和具有有限数量天线的系统中都是准确的。还表明，通过下行链路到上行链路的干扰消除，可以提高具有 NAFD 的 CF 大规模 MIMO 的上行链路频谱效率。比较了具有不同双工配置（例如带内全双工和半双工）的 NAFD 的频谱效率。在发射和接收天线总数相同的情况下，带有半双工远程天线单元的 NAFD 提供更高的频谱效率。为了减轻上下行干扰，提出了一种基于遗传算法的用户调度策略（GAS）。仿真结果表明，与使用随机用户调度相比，使用GAS可实现的下行总和速率有很大提高。提出了一种基于遗传算法的用户调度策略（GAS）。仿真结果表明，与使用随机用户调度相比，使用GAS可实现的下行总和速率有很大提高。提出了一种基于遗传算法的用户调度策略（GAS）。仿真结果表明，与使用随机用户调度相比，使用GAS可实现的下行链路总速率有很大提高。