Name
Title | ||
|---|---|---|
Information rates of precoding for massive MIMO and base station cooperation in an indoor scenario |
Abstract | ||
|---|---|---|
The performance of centralized and distributed massive MIMO deployments are studied for simulated indoor office scenarios. The distributed deployments use one of the following precoding methods: (1) local precoding with local channel state information (CSI) to the user equipments (UEs) that it serves, (2) large-scale MIMO with local CSI to all UEs in the network, (3) network MIMO with global CSI. For the distributed deployment (3), it is found that using twice as many base station antennas as data streams provides many of the massive MIMO benefits in terms of spectral efficiency and fairness. This is in contrast to the centralized and distributed deployments using (1) or (2) where more antennas are needed. Two main conclusions are that distributing base stations helps to overcome wall penetration loss; however, a backhaul is required to mitigate inter-cell interference. The effect of estimation errors on the performance is also quantified. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1186/s13638-019-1636-5 | EURASIP Journal on Wireless Communications and Networking |
Keywords | Field | DocType |
Mobile radio communication, 5G, Indoor communication, Massive MIMO, Network MIMO, Base station cooperation | Base station,Computer science,Computer network,MIMO,Real-time computing,Precoding | Journal |
Volume | Issue | ISSN |
2020 | 1 | 1687-1499 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Dierks | 1 | 19 | 2.66 |
| gerhard kramer | 2 | 1636 | 129.56 |
| Berthold Panzner | 3 | 196 | 9.79 |
| Wolfgang Zirwas | 4 | 125 | 59.42 |