In this paper, we investigate network-assisted full-duplex (NAFD) cell-free millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems with digital-to-analog converter (DAC) quantization and fronthaul compression. We propose to maximize the weighted uplink and downlink sum rate by jointly optimizing the power allocation of both the transmitting remote antenna units (T-RAUs) and uplink users and the variances of the downlink and uplink fronthaul compression noises. To deal with this challenging problem, we further apply a successive convex approximation (SCA) method to handle the non-convex bidirectional limited-capacity fronthaul constraints. The simulation results verify the convergence of the proposed SCA-based algorithm and analyze the impact of fronthaul capacity and DAC quantization on the spectral efficiency of the NAFD cell-free mmWave massive MIMO systems. Moreover, some insightful conclusions are obtained through the comparisons of spectral efficiency, which shows that NAFD achieves better performance gains than co-time co-frequency full-duplex cloud radio access network (CCFD C-RAN) in the cases of practical limited-resolution DACs. Specifically, their performance gaps with 8-bit DAC quantization are larger than that with 1-bit DAC quantization, which attains a 5.5-fold improvement.
翻译:在本文中,我们调查了网络辅助全无细胞(NAFD)全无细胞波(mmWave)的大规模多输出多输出多输出(MIMO)系统,这些系统具有数字到分析器(DAC)量化和前方压缩。我们提议通过共同优化传输的远程天线装置(T-RAUs)和上链接用户的能量分配以及下行和前厅压缩噪音的下行和上行连接差异,最大限度地实现加权上行和下行总和率。为了应对这一具有挑战性的问题,我们进一步采用连续的convex近似(SCA)方法处理非convex双向有限能力前厅限制(MIMO)系统。模拟结果可以核实基于SCA的拟议算法的趋同率和下行总和下行总和,分析发货能力对NAFDA无电池大容量的频谱效率的影响。此外,通过对光频谱效率的比较,得出了一些深刻的结论,表明NAFDD比双频全频双向全端的双向全端无线电访问网络取得更好的业绩。