Name
Abstract | ||
|---|---|---|
Media-based modulation (MBM) with massive multiple-input multiple-output (mMIMO) wireless systems is a viable solution to realize the ever-increasing demand for high-speed data and extensive connectivity in beyond 5G and 6G wireless communications. MBM-mMIMO utilizes less transmit power and radio resources measured against mMIMO to yield high spectral efficiency and high data rate. However, symbol detection in the uplink of MBM-mMIMO is challenging due to the sparse nature of the received signal, and the cumulative effect of inter-user interference and noise. In this letter, support recovery error constraint-based low complexity sequential symbol detection technique is proposed for uplink MBM-mMIMO system. The proposed MBM-mMIMO detection technique exploits the upper bound on support recovery error and iteratively minimizes the residual error associated with the estimated transmit vector. A reduced message space is also introduced to further enrich the exploration capability of the proposed technique. Simulation results reveal the viability of proposed techniques over several state-of-the-art MBM-mMIMO detection techniques as BER performance and computational complexity are concerned. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LCOMM.2020.3029004 | IEEE Communications Letters |
Keywords | DocType | Volume |
Massive MIMO,MBM,support recovery,maximum likelihood,error refinement | Journal | 25 |
Issue | ISSN | Citations |
2 | 1089-7798 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arijit Datta | 1 | 0 | 0.34 |
| Manish Mandloi | 2 | 27 | 4.78 |
| Vimal Bhatia | 3 | 134 | 45.36 |