On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO

On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO
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有限回程无小区大规模 MIMO 的能量效率

DOI:
10.1109/icc.2019.8761134
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发表时间:
2019
期刊:
--
影响因子:
--
通讯作者:
Bashar M
Bashar M
中科院分区:
--
文献类型:
--
作者:
Bashar M

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我们研究了无单元大规模多输入多输出(MIMO)的能效性能,其中接入点(ap)通过有限容量链路连接到中央处理器(CPU)。由于ap的分布式最大比值组合(MRC)加权,我们建议仅将加权信号的量化版本发送回CPU。考虑信道估计误差的影响,利用Bussgang定理对量化误差进行建模,提出了一个考虑用户功率约束和回程容量约束以及吞吐量需求约束的能效最大化问题。为了解决这一非凸优化问题,我们将原问题分解为两个子问题,并利用逐次凸逼近(SCA)求解原能效最大化问题。数值结果证实了所提优化方案的优越性。
We investigate the energy efficiency performance of cell-free Massive multiple-input multiple-output (MIMO), where the access points (APs) are connected to a central processing unit (CPU) via limited-capacity links. Thanks to the distributed maximum ratio combining (MRC) weighting at the APs, we propose that only the quantized version of the weighted signals are sent back to the CPU. Considering the effects of channel estimation errors and using the Bussgang theorem to model the quantization errors, an energy efficiency maximization problem is formulated with per-user power and backhaul capacity constraints as well as with throughput requirement constraints. To handle this non-convex optimization problem, we decompose the original problem into two sub-problems and exploit a successive convex approximation (SCA) to solve original energy efficiency maximization problem. Numerical results confirm the superiority of the proposed optimization scheme.
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