论文标题
无线驱动的无细胞大量MIMO的关节功率控制和LSFD
Joint Power Control and LSFD for Wireless-Powered Cell-Free Massive MIMO
论文作者
论文摘要
本文考虑无线上行链路信息和无单元大量多输入多输出系统中的无线上行链路传输。单人体用户设备（UES）利用下行链路中收获的能量将上行链路飞行员和信息信号传输到多 - 安特纳纳接入点（APS）。我们考虑基于线性最小于点误差（LMMSE）或最小二乘（LS）通道估计的里奇亚人褪色和最大比率处理。我们通过使用实用的非线性能量收获电路模型来得出平均收获能量，以实现相干和非辅助传输方案。此外，针对所有考虑的方法得出了上行链路光谱效率（SE），而最大值公平性问题是铸造，其中优化变量是AP和UE功率控制系数，以及大型褪色解码矢量。目的是最大化UES“ APS”和UES的最小SE传输功率约束。提出了一种新型的交替优化算法，并在每个步骤中都提出了确保收敛和改进的一种，以解决高度耦合的非凸问题。
This paper considers wireless uplink information and downlink power transfer in cell-free massive multiple-input multiple-output systems. The single-antenna user equipments (UEs) utilize the energy harvested in the downlink to transmit uplink pilot and information signals to the multiple-antenna access points (APs). We consider Rician fading and maximum ratio processing based on either linear minimum mean-squared error (LMMSE) or least-squares (LS) channel estimation. We derive the average harvested energy by using a practical non-linear energy harvesting circuit model for both coherent and non-coherent transmission schemes. Furthermore, the uplink spectral efficiency (SE) is derived for all the considered methods and the max-min fairness problem is cast where the optimization variables are the AP and UE power control coefficients together with the large-scale fading decoding vectors. The objective is to maximize the minimum SE of the UEs' under APs' and UEs' transmission power constraints. A novel alternating optimization algorithm with guaranteed convergence and improvement at each step is proposed to solve the highly-coupled non-convex problem.
