User Selection based on Inter-channel Interference for Massive MIMO under Line-of-sight Propagation

Rafael S. Chaves, E. Çetin, Markus V. S. Lima, W. Martins
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引用次数: 1

Abstract

Massive multiple-input multiple-output (MIMO) is seen as a key enabler for next-generation wireless communication systems. Increased throughput afforded by massive MIMO, however, may severely degrade when the number of users served by a single base station increases, calling for user scheduling algorithms. To deal with this problem, a new user selection algorithm, called inter-channel interference-based selection (ICIBS), is proposed. ICIBS drops those users that induce the highest interference to the remaining users. Simulations show that selecting users with ICIBS significantly improves the throughput, outperforming state-of-the-art user selection algorithms.
视距传播下基于信道间干扰的大规模MIMO用户选择
大规模多输入多输出(MIMO)被视为下一代无线通信系统的关键实现因素。然而,当单个基站服务的用户数量增加时,大规模MIMO带来的吞吐量增加可能会严重降低,这就需要用户调度算法。为了解决这一问题,提出了一种新的用户选择算法——基于信道间干扰的选择算法。ICIBS将那些引起最大干扰的用户丢弃给剩下的用户。仿真表明,使用ICIBS选择用户显著提高了吞吐量,优于最先进的用户选择算法。
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