Name
Title | ||
|---|---|---|
Cross Validation Aided Approximated Message Passing Algorithm for User Identification in mMTC |
Abstract | ||
|---|---|---|
Recently, the approximate message passing (AMP) algorithm is advocated for overcoming the active user identification challenge in grant free (GF) massive random access (RA). However, requiring the perfect knowledge of user sparsity is a quite strong assumption of AMP algorithm in practical applications. Accordingly, we incorporate the cross validation (CV) method into the minimum mean square error... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LCOMM.2021.3064025 | IEEE Communications Letters |
Keywords | DocType | Volume |
Matching pursuit algorithms,Estimation,Complexity theory,Approximation algorithms,Message passing,Sparse matrices,Simulation | Journal | 25 |
Issue | ISSN | Citations |
6 | 1089-7798 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linjie Yang | 1 | 0 | 0.34 |
| Pingzhi Fan | 2 | 3233 | 265.09 |
| Li Li | 3 | 5 | 1.43 |
| Zhiguo Ding | 4 | 7031 | 399.47 |
| Li Hao | 5 | 0 | 1.69 |