Name
Abstract | ||
|---|---|---|
We address the problem of noise and interference corrupted channel estimation in massive MIMO systems. Interference, which originates from pilot reuse (or contamination), can in principle be discriminated on the basis of the distributions of path angles and amplitudes. In this paper, we propose novel robust channel estimation algorithms exploiting path diversity in both angle and power domains, relying on a suitable combination of the spatial filtering and amplitude based projection. The proposed approaches are able to cope with a wide range of system and topology scenarios, including those where, unlike in previous works, interference channel may overlap with desired channels in terms of multipath angles of arrival or exceed them in terms of received power. In particular, we establish analytically the conditions under which the proposed channel estimator is fully decontaminated. Simulation results confirm the overall system gains when using the new methods. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TSP.2016.2535204 | IEEE Trans. Signal Processing |
Keywords | Field | DocType |
Channel estimation,Interference,Antennas,MIMO,Contamination,Base stations,Robustness | Multipath propagation,Power domains,Control theory,Communication channel,MIMO,Interference (wave propagation),Amplitude,Mathematics,Spatial filter,Estimator | Journal |
Volume | Issue | ISSN |
abs/1509.06024 | 11 | 1053-587X |
Citations | PageRank | References |
17 | 0.72 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haifan Yin | 1 | 519 | 27.34 |
| L. Cottatellucci | 2 | 60 | 6.30 |
| David Gesbert | 3 | 2996 | 218.36 |
| R. Muller | 4 | 1206 | 124.92 |
| Gaoning He | 5 | 165 | 13.79 |