Name
Title | ||
|---|---|---|
Dynamic Pilot Design and Channel Estimation Based on Structured Compressive Sensing for Uplink SCMA System |
Abstract | ||
|---|---|---|
Sparse Code Multiple Access (SCMA) is expected to accommodate massive machine-type communications (mMTC) in 5G wireless networks. Since the overloading system creates enormous signaling overheads, massive connections with grant-free transmission methodology have received significant attention. In this paper, we study active user detection (AUD) and channel estimation (CE) based on compressed sensing technology in the uplink of a grant-free system. We firstly propose a pilot design scheme considering the optimization of sensing matrix, and then a dynamic sensing matrix-based Group Orthogonal Matching Pursuit (DSM-based GOMP) algorithm is proposed for block sparse channel estimation, and hence pilot overhead in the cellular network can realize self-adaptation with the number of potential users or communication channel states. In low SNR scenarios, the sensing matrix composed of Zadoff-Chu (ZC) sequence is considered. When the SNR exceeds the threshold, the sensing matrix is constructed by optimizing Gram matrix to reduce inter-cell interference. Simulation results prove that the proposed algorithm is capable of achieving multiple access with low detection error, and adjust pilot resource overhead adaptively. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICCChinaW.2019.8849953 | 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops) |
Keywords | Field | DocType |
SCMA,Grant-Free,Channel Estimation,Active User Detection,Pilot Design | Matching pursuit,Wireless network,Computer science,Matrix (mathematics),Communication channel,Real-time computing,Interference (wave propagation),Cellular network,Compressed sensing,Telecommunications link | Conference |
ISSN | ISBN | Citations |
2474-9133 | 978-1-7281-0739-4 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |