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

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.

1 Introduction

Massive multiple-input multiple-output (MIMO) [1] systems employ a large number of antennas at the base station (BS), serving users within the same time-frequency radio resource. By using a large number of antennas, the small-scale fading effect can be eliminated through the so-called channel hardening, yielding a deterministic scalar channel [2]. Moreover, under favorable or asymptotically favorable propagation conditions, massive MIMO can achieve very high throughput by using linear processing [3]. These benefits make massive MIMO very attractive for wireless communication systems.