Adaptive Frequency Reuse for Beam Allocation Based Multiuser Massive MIMO Systems

Junyuan Wang, N. Gomes, Jiangzhou Wang
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Abstract

Massive multiple-input-multiple-output (MIMO) is a promising technique to provide high-data-rate communication in fifth-generation (5G) mobile systems, thanks to its ability to form narrow and high-gain beams. Among various massive MIMO beamforming techniques, the fixed-beam scheme has attracted considerable attention due to its simplicity. In this paper, we focus on a fixed- beam based multiuser massive MIMO system where each user is served by a beam allocated to it. As the directions of fixed beams are predetermined and the users are randomly distributed, there could be some ``worst-case'' users, located at the edge of its serving beam, suffering from strong inter-beam interference and thus experiencing low data rate. To improve the individual data rates of the worst-case users while maintaining the sum data rate, an adaptive frequency reuse scheme is proposed. Simulation results corroborate that our proposed adaptive frequency reuse strategy can greatly improve the worst-case users' data rates without sacrificing the sum data rate.
基于波束分配的多用户大规模MIMO系统自适应频率复用
由于能够形成窄波束和高增益波束,大规模多输入多输出(MIMO)是在第五代(5G)移动系统中提供高数据速率通信的一种很有前途的技术。在各种大规模MIMO波束形成技术中,固定波束方案因其简单性而备受关注。本文研究了一种基于固定波束的多用户大规模MIMO系统,其中每个用户由分配给它的波束来服务。由于固定波束的方向是预先确定的,而用户是随机分布的,因此可能存在一些“最坏情况”用户,这些用户位于其服务波束的边缘,受到强烈的波束间干扰,因此数据速率较低。为了在保持总数据速率的同时提高最差情况下用户的个人数据速率,提出了一种自适应频率复用方案。仿真结果证实了我们提出的自适应频率复用策略可以在不牺牲总数据速率的情况下大大提高最差情况下用户的数据速率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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