User Association and Interference Management in Massive MIMO HetNets
Qiaoyang Ye, Ozgun Y. Bursalioglu, Haralabos C. Papadopoulos,, Constantine Caramanis, Jeffrey G. Andrews

TL;DR
This paper investigates how massive MIMO can enhance user association and interference management in 5G HetNets, proposing joint transmission and resource blanking strategies to significantly improve cell-edge user rates.
Contribution
It introduces a unified framework leveraging massive MIMO channel hardening for joint optimization of user association and interference management in HetNets.
Findings
Over 2x rate improvement for 10th percentile users
Effective dual subgradient algorithm for network utility maximization
Significant gains with interference mitigation strategies
Abstract
Two key traits of 5G cellular networks are much higher base station (BS) densities - especially in the case of low-power BSs - and the use of massive MIMO at these BSs. This paper explores how massive MIMO can be used to jointly maximize the offloading gains and minimize the interference challenges arising from adding small cells. We consider two interference management approaches: joint transmission (JT) with local precoding, where users are served simultaneously by multiple BSs without requiring channel state information exchanges among cooperating BSs, and resource blanking, where some macro BS resources are left blank to reduce the interference in the small cell downlink. A key advantage offered by massive MIMO is channel hardening, which enables to predict instantaneous rates a priori. This allows us to develop a unified framework, where resource allocation is cast as a network…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Communication Technologies
