Interference-Alignment and Soft-Space-Reuse Based Cooperative Transmission for Multi-cell Massive MIMO Networks
Interference-Alignment and Soft-Space-Reuse Based Cooperative Transmission for Multi-cell Massive MIMO Networks
复制标题
基于干扰对齐和软空间重用的多小区大规模 MIMO 网络协作传输
DOI：
10.1109/twc.2017.2786722
复制
发表时间：
2018
影响因子：
10.4
通讯作者：
Victor C.M. Leung
中科院分区：
文献类型：
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作者：
Jianpeng Ma;Shun Zhang;Hongyan Li;Nan Zhao;Victor C.M. Leung
干扰对齐作为一种革命性的无线传输策略，可以提高小区边缘用户的容量。然而，在大规模MIMO系统中，用于IA的全局信道状态信息的获取导致不可接受的开销。为了解决这个问题，在本文中，我们提出了一个IA和软空间复用（IA-SSR）的两阶段预编码框架下的合作传输方案。具体地，小区中心和小区边缘用户被分开处理，以充分利用空间自由度。然后，最优的功率分配策略，以最大化网络的总容量。接下来，一个低成本的信道估计器的建议IA-SSR框架的设计。最后讨论了IA-SSR实施中的一些实际问题。最后，大量的数值结果表明所提出的算法的有效性。
As a revolutionary wireless transmission strategy, interference alignment (IA) can improve the capacity of cell-edge users. However, the acquisition of the global channel state information for IA leads to unacceptable overhead in the massive MIMO systems. To tackle this problem, in this paper, we propose an IA and soft-space-reuse (IA-SSR)-based cooperative transmission scheme under the two-stage precoding framework. Specifically, the cell-center and the cell-edge users are separately treated to fully exploit the spatial degrees of freedoms. Then, the optimal power allocation policy is developed to maximize the sum-capacity of the network. Next, a low-cost channel estimator is designed for the proposed IA-SSR framework. Some practical issues in IA-SSR implementation are also discussed. Finally, plenty of numerical results are presented to show the efficiency of the proposed algorithm.