CS-Based Near-Optimal MUD for Uplink Grant-Free NOMA
| Autor: | Abdelkader Medjouri, Djamel Abed |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Real-time computing Detector 020206 networking & telecommunications 02 engineering and technology medicine.disease Computer Science Applications Noma Transmission (telecommunications) Telecommunications link 0202 electrical engineering electronic engineering information engineering medicine Overhead (computing) 020201 artificial intelligence & image processing Electrical and Electronic Engineering Multipath propagation |
| Zdroj: | Wireless Personal Communications. 118:3585-3594 |
| ISSN: | 1572-834X 0929-6212 |
| DOI: | 10.1007/s11277-021-08198-5 |
| Popis: | In order to furnish connectivity to an incredible number of devices and to satisfy the capacity demands, non-orthogonal multiple access (NOMA) is considered as a hopeful solution for future 5G. Moreover, grant-free transmission is substantially expected in the uplink NOMA to minimize the latency time and detection overhead. However, multi-user detection (MUD) without user-activity information in uplink grant-free NOMA is hard in practice. In this paper, by benefit from the user-activity sparsity existing in uplink grant-free NOMA, the multipath matching pursuit (MMP) is used for user-activity detection, and then message passing algorithm (MPA) can be efficiently applied for active users’ data detection. Simulation results show that the proposed MMP-MAP MUD with acceptable complexity can achieve better performance than conventional solutions. Also, the MMP-MAP detector reaches the performance obtained by the MPA detector with perfect user-activity information once the level of signal-to-noise ratio exceed 11 dB. |
| Databáze: | OpenAIRE |
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