Large-Scale MIMO versus Network MIMO for Multicell Interference Mitigation

• Published in: arXiv.org
• Main Authors: Hosseini, Kianoush, Yu, Wei, Adve, Raviraj S
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 22.07.2014
• Subjects: Antennas; Beamforming; Beams (radiation); Cellular communication; Clusters; Computer Science - Information Theory; Computer simulation; Data exchange; Distribution functions; Division; Downlinking; Interference; Mathematical analysis; Mathematics - Information Theory; MIMO (control systems); Quality of service architectures; Reciprocity; Uplinking; Wireless networks
• DOI: 10.48550/arxiv.1407.5747

This paper compares two important downlink multicell interference mitigation techniques, namely, large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. We consider a cooperative wireless cellular system operating in time-division duplex (TDD) mode, wherein each cooperating cluster includes \(B\) base-stations (BSs), each equipped with multiple antennas and scheduling \(K\) single-antenna users. In an LS-MIMO system, each BS employs \(BM\) antennas not only to serve its scheduled users, but also to null out interference caused to the other users within the cooperating cluster using zero-forcing (ZF) beamforming. In a network MIMO system, each BS is equipped with only \(M\) antennas, but interference cancellation is realized by data and channel state information exchange over the backhaul links and joint downlink transmission using ZF beamforming. Both systems are able to completely eliminate intra-cluster interference and to provide the same number of spatial degrees of freedom per user. Assuming the uplink-downlink channel reciprocity provided by TDD, both systems are subject to identical channel acquisition overhead during the uplink pilot transmission stage. Further, the available sum power at each cluster is fixed and assumed to be equally distributed across the downlink beams in both systems. Building upon the channel distribution functions and using tools from stochastic ordering, this paper shows, however, that from a performance point of view, users experience better quality of service, averaged over small-scale fading, under an LS-MIMO system than a network MIMO system. Numerical simulations for a multicell network reveal that this conclusion also holds true with regularized ZF beamforming scheme. Hence, given the likely lower cost of adding excess number of antennas at each BS, LS-MIMO could be the preferred route toward interference mitigation in cellular networks.