Cell-Free Massive MIMO: Uniformly Great Service For Everyone
May 11, 2015 ยท Declared Dead ยท ๐ International Workshop on Signal Processing Advances in Wireless Communications
"No code URL or promise found in abstract"
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Authors
Hien Quoc Ngo, Alexei Ashikhmin, Hong Yang, Erik G. Larsson, Thomas L. Marzetta
arXiv ID
1505.02617
Category
cs.IT: Information Theory
Citations
366
Venue
International Workshop on Signal Processing Advances in Wireless Communications
Last Checked
2 months ago
Abstract
We consider the downlink of Cell-Free Massive MIMO systems, where a very large number of distributed access points (APs) simultaneously serve a much smaller number of users. Each AP uses local channel estimates obtained from received uplink pilots and applies conjugate beamforming to transmit data to the users. We derive a closed-form expression for the achievable rate. This expression enables us to design an optimal max-min power control scheme that gives equal quality of service to all users. We further compare the performance of the Cell-Free Massive MIMO system to that of a conventional small-cell network and show that the throughput of the Cell-Free system is much more concentrated around its median compared to that of the small-cell system. The Cell-Free Massive MIMO system can provide an almost $20-$fold increase in 95%-likely per-user throughput, compared with the small-cell system. Furthermore, Cell-Free systems are more robust to shadow fading correlation than small-cell systems.
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