Jing Zhang, Jiayi Zhang, Jiakang Zheng, Shi Jin, B. Ai
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引用次数: 5
摘要
无小区大规模MIMO系统采用大量的分布式接入点(ap)在同一时频槽内同时为少量用户(ue)提供服务。实现无蜂窝大规模MIMO系统的一个主要挑战是减少ap和中央处理器之间回程链路的容量。为了解决这一挑战,我们提出了一种有效的扩展计算转发(ECF)方案来避免ap的基数扩展。与原有的CF (computer and forward)方案不同,ECF方案适用于更一般的非对称上行场景,即所有终端向功率不等的ap发送信号。利用ECF方案发射功率分配灵活的优点,提出了一种迭代功率优化算法,进一步提高了可达和率。数值结果表明,所提出的ECF方案在回程容量、可实现和速率和计算速率方面都优于原CF方案。
Expanded Compute-and-Forward for Backhaul-Limited Cell-Free Massive MIMO
Cell-free massive MIMO systems employ a large number of distributed access points (APs) to simultaneously serve a small number of users (UEs) in the same time-frequency slot. One main challenging of realizing practical cell-free massive MIMO systems is reducing the capacity of the backhaul links between the APs and central processing unit. To address this challenge, we propose an efficient expanded compute-and-forward (ECF) scheme to avoid the cardinality expansion at APs. Different from the original compute-and-forward (CF) scheme, the ECF scheme is available for the more general unsymmetrical uplink scenario where all UEs transmit signals to the APs with unequal powers. By utilising the advantage of allocating the transmit power flexibly in the ECF scheme, an iterative power optimization algorithm is proposed to further improve the achievable sum rate. Numerical results show that the proposed ECF scheme outperforms the original CF scheme in terms of backhaul capacity, achievable sum rate and computation rate.