Name
Abstract | ||
|---|---|---|
Nonorthogonal multiple access technology has been proposed for use in 5G communications systems. In particular, the sparse code multiple access (SCMA) scheme is believed to be one of the most promising techniques among the various nonorthogonal approaches that have been investigated. In this letter, we focus on reducing the complexity of SCMA decoding and we propose a Monte Carlo Markov Chain (MCM... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LSP.2016.2544792 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Decoding,Complexity theory,Monte Carlo methods,Signal processing algorithms,Iterative decoding,Niobium,Markov processes | Access technology,Markov process,Markov chain Monte Carlo,Computer science,Communications system,Theoretical computer science,Artificial intelligence,Signal processing algorithms,Monte Carlo method,Pattern recognition,Algorithm,Decoding methods,Codebook | Journal |
Volume | Issue | ISSN |
23 | 5 | 1070-9908 |
Citations | PageRank | References |
4 | 0.40 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jienan Chen | 1 | 84 | 13.64 |
| Zhenbing Zhang | 2 | 6 | 1.13 |
| Shuaining He | 3 | 4 | 0.74 |
| Hu Jianhao | 4 | 96 | 20.56 |
| Gerald E. Sobelman | 5 | 225 | 44.78 |