Asymptotic Coverage Probability and Rate in Massive MIMO Networks

Abstract

Massive multiple-input multiple-output (MIMO) is a transmission technique for cellular systems that uses many antennas to support not-as-many users. Thus far, the performance of massive MIMO has only been examined in finite cellular networks. In this letter, we analyze its performance in random cellular networks with Poisson distributed base station locations. Specifically, we provide analytical expressions for the asymptotic coverage probability and rate in both downlink and uplink when each base station has a large number of antennas. The results show that, though limited by pilot contamination, massive MIMO can provide significantly higher asymptotic data rate per user than the single-antenna network.

Submitted to IEEE Wireless Communications Letters, May 2013

References in corpus (1)

• A Tractable Approach to Coverage and Rate in Cellular Networks

Cited by in corpus (6)

• Analysis and Optimization of Inter-tier Interference Coordination in Downlink Multi-Antenna HetNets with Offloading
• User-Centric Interference Nulling in Downlink Multi-Antenna Heterogeneous Networks
• The Interplay between Massive MIMO and Underlaid D2D Networking
• Cell Coverage Extension with Orthogonal Random Precoding for Massive MIMO Systems
• Pilot Reuse Among D2D Users in D2D Underlaid Massive MIMO Systems
• Guard Region Model for Pilot Reuse Analysis in Uplink Massive MIMO Systems