We study the impact of channel aging on the uplink of a cell-free (CF) massive multiple-input multiple-output (mMIMO) system by considering i) spatially-correlated Rician-faded channels; ii) hardware impairments at the access points and user equipments (UEs); and iii) two-layer large-scale fading decoding (LSFD). We first derive a closed-form spectral efficiency (SE) expression for this system, and later propose two novel optimization techniques to optimize the non-convex SE metric by exploiting the minorization-maximization (MM) method. The first one requires a numerical optimization solver, and has a high computation complexity. The second one with closed-form transmit power updates, has a trivial computation complexity. We numerically show that i) the two-layer LSFD scheme effectively mitigates the interference due to channel aging for both low- and high-velocity UEs; and ii) increasing the number of AP antennas does not mitigate the SE deterioration due to channel aging. We numerically characterize the optimal pilot length required to maximize the SE for various UE speeds. We also numerically show that the proposed closed-form MM optimization yields the same SE as that of the first technique, which requires numerical solver, and that too with a much reduced time-complexity.
翻译:我们研究了信道老化对无蜂窝体制(CF) massive 多输入多输出 (mMIMO)系统上行链路的影响,考虑到以下三个因素:i) 空间相关的里奇褪色信道;ii) 接入点和用户设备(UEs)的硬件损伤;和iii)两层大规模信道衰落译码(LSFD)。我们首先为该系统推导了一个闭式频谱效益(SE)表达式,随后利用小化极度(MM)方法提出了两种新的优化技术来优化非凸SE度量。第一种方法需要数字优化求解器,具有较高的计算复杂度。第二种方法采用闭式发射功率更新,计算简单。我们数值上表明,i) 两层 LSFD 方案有效地减轻了由于信道老化而引起的干扰,无论是低速还是高速 UE;和 ii) 增加 AP 天线的数量并不能减轻由于信道老化导致的 SE 恶化。我们数值上刻画了最大化 SE 所需的优化周期长度,以适应不同的 UE 速度。我们还数值上表明,所提出的闭式 MM 优化产生的 SE 与需要数字求解器的第一种技术的 SE 相同,而且计算时间复杂度显著降低。