Name
Abstract | ||
|---|---|---|
For reducing the complexity of equalization, linear equalization can be adopted for generalized spatial modulation (GSM) which is a special case of multiple-input-and-multiple-output (MIMO). However, because of its inferior performance, linear equalization may be infeasible for practical GSM systems which has large number of antennas and constellation. On the other hand, lattice-reduction (LR) is an effective method to improve the performance of linear equalization. The lattice reduction can’t be utilized by GSM directly, because signals on some antennas don’t exist. For tackling this problem, we propose a compatible 8-QAM constellation scheme integrating LR-aided linear equalization with GSM effectively. Next, we prove that LR-aided linear equalizers collect the same diversity order as that exploited by the ML detector under Rayleigh fading channels, and implement some simulations. Simulation results show the superior of the proposed 8-QAM over traditional 4-QAM and 8-QAM under Rayleigh fading channel. Moreover, our scheme obtains the full receive diversity under correlated channel. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-73564-1_18 | international conference on machine learning |
Field | DocType | Citations |
GSM,Rayleigh fading,Equalization (audio),Pattern recognition,Computer science,MIMO,Communication channel,Algorithm,Modulation,Artificial intelligence,Detector,Lattice reduction | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chungang Liu | 1 | 0 | 0.68 |
| Chen Wang | 2 | 108 | 5.96 |
| Wenbin Zhang | 3 | 3 | 1.81 |