Name
Abstract | ||
|---|---|---|
In this paper, an iterative multiuser detector is proposed for uplink large-scale Multiple Input Multiple Output (MIMO). It is developed based on the Generalized Approximate Message Passing (GAMP) algorithm, and its convergence properties are analyzed by a one-dimensional iteration termed as State Evolution (SE). The SE analysis proves that the complexity of the GAMP detector (GAMPd) is one order of magnitude smaller than that of the Minimum Mean Square Error (MMSE) detector. Simulation results show the GAMPd performs similarly to MMSE at least, and even outperforms the latter when the number of BS antennas is not much larger than the number of users. In addition, the GAMPd with matrix-vector multiplications is suitable for hardware implementation. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/WCNC.2014.6951951 | WCNC |
Keywords | Field | DocType |
matrix multiplication,se analysis,gampd,bs antennas,hardware implementation,one-dimensional iterative multiuser detector,low-complexity multiuser detection,convergence property,uplink large-scale multiple input multiple output,least mean squares methods,generalized approximate message passing algorithm,mimo communication,uplink large-scale mimo,antennas,minimum mean square error detector,multiuser detection,message passing,mmse detector,gamp detector algorithm,state evolution,matrix-vector multiplications,iterative methods,signal to noise ratio,uplink,mimo,detectors | Convergence (routing),Mathematical optimization,Computer science,Signal-to-noise ratio,Algorithm,Multiuser detection,MIMO,Minimum mean square error,Real-time computing,Detector,Message passing,Telecommunications link | Conference |
ISSN | Citations | PageRank |
1525-3511 | 5 | 0.46 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shengchu Wang | 1 | 23 | 2.57 |
| Yunzhou Li | 2 | 345 | 36.62 |
| jing wang | 3 | 136 | 12.68 |