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Cell-Free Massive MIMO versus Small Cells

Information Theory 2017-01-18 v2 math.IT

Abstract

A Cell-Free Massive MIMO (multiple-input multiple-output) system comprises a very large number of distributed access points (APs)which simultaneously serve a much smaller number of users over the same time/frequency resources based on directly measured channel characteristics. The APs and users have only one antenna each. The APs acquire channel state information through time-division duplex operation and the reception of uplink pilot signals transmitted by the users. The APs perform multiplexing/de-multiplexing through conjugate beamforming on the downlink and matched filtering on the uplink. Closed-form expressions for individual user uplink and downlink throughputs lead to max-min power control algorithms. Max-min power control ensures uniformly good service throughout the area of coverage. A pilot assignment algorithm helps to mitigate the effects of pilot contamination, but power control is far more important in that regard. Cell-Free Massive MIMO has considerably improved performance with respect to a conventional small-cell scheme, whereby each user is served by a dedicated AP, in terms of both 95%-likely per-user throughput and immunity to shadow fading spatial correlation. Under uncorrelated shadow fading conditions, the cell-free scheme provides nearly 5-fold improvement in 95%-likely per-user throughput over the small-cell scheme, and 10-fold improvement when shadow fading is correlated.

Keywords

Cite

@article{arxiv.1602.08232,
  title  = {Cell-Free Massive MIMO versus Small Cells},
  author = {Hien Quoc Ngo and Alexei Ashikhmin and Hong Yang and Erik G. Larsson and Thomas L. Marzetta},
  journal= {arXiv preprint arXiv:1602.08232},
  year   = {2017}
}

Comments

EEE Transactions on Wireless Communications, accepted for publication

R2 v1 2026-06-22T12:58:24.718Z