Name
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 smallcell 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 smallcell systems. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SPAWC.2015.7227028 | 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) |
Keywords | Field | DocType |
cell-free massive MIMO systems,distributed access points,channel estimates,optimal max-min power control scheme,quality of service,small-cell network,shadow fading correlation | Beamforming,Multi-user MIMO,3G MIMO,Fading,Computer science,Computer network,MIMO,Communications system,Throughput,Telecommunications link | Journal |
Volume | ISSN | Citations |
abs/1505.02617 | 1948-3244 | 33 |
PageRank | References | Authors |
1.75 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hien Quoc Ngo | 1 | 2546 | 129.55 |
| Alexei Ashikhmin | 2 | 2546 | 179.44 |
| Hong Yang | 3 | 455 | 19.71 |
| Erik G. Larsson | 4 | 10189 | 605.81 |
| Thomas Marzetta | 5 | 9942 | 1002.71 |