Name
Abstract | ||
|---|---|---|
Application of filter bank multicarrier (FBMC) as an effective method for signaling over massive MIMO channels has been recently proposed. This paper further expands the application of FBMC to massive MIMO by applying frequency spreading equalization (FSE) to these channels. FSE allows us to achieve a more accurate equalization. Hence, higher number of bits per symbol can be transmitted and the bandwidth of each subcarrier can be widened. Widening the bandwidth of each subcarrier leads to (i) higher bandwidth efficiency; (ii) lower complexity; (iii) lower sensitivity to carrier frequency offset (CFO); (iv) reduced peak-to-average power ratio (PAPR); and (iv) reduced latency. All these appealing advantages have a direct impact on the digital as well as analog circuitry that is needed for the system implementation. In this paper, we develop the mathematical formulation of the minimum mean square error (MMSE) FSE for massive MIMO systems. This analysis guides us to decide on the number of subcarriers that will be sufficient for practical channel models. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICCW.2015.7247356 | 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW) |
Field | DocType | Volume |
Subcarrier,Equalization (audio),Control theory,Computer science,Signal-to-noise ratio,Carrier frequency offset,Minimum mean square error,MIMO,Electronic engineering,Real-time computing,Bandwidth (signal processing),Spectral efficiency | Journal | abs/1504.01140 |
ISSN | Citations | PageRank |
2164-7038 | 4 | 0.39 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Aminjavaheri | 1 | 32 | 3.06 |
| Arman Farhang | 2 | 131 | 14.01 |
| Nicola Marchetti | 3 | 192 | 33.90 |
| L. E. Doyle | 4 | 487 | 45.61 |
| Behrouz Farhang-Boroujeny | 5 | 972 | 84.30 |