Title | ||
---|---|---|
Fast Off-grid Channel Estimation for Millimeter Wave Cellular Systems: A Flexible Convex Relaxation Method |
Abstract | ||
---|---|---|
In this paper, a novel off-grid channel model is considered for millimeter-wave (mmWave) cellular systems, where both the BS and MS employ large antenna arrays for directional beamforming. Accurate acquisition of channel knowledge for sufficient beamforming gain is challenging due to the large number of antennas and low coherence time. Different from most existing studies that are concerned with compressed sensing (CS)-based channel estimators, a novel convex formulation without semidefinite programming (SDP) relaxation is proposed for the off-grid/super-resolution channel estimation and then a low complexity solver based on alternating direction method of multipliers (ADMM) is developed. The simulation results demonstrate that the proposed off-grid method has better estimation accuracy and lower computational complexity compared with other state-of-the-art algorithms. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/GLOBECOM38437.2019.9014202 | IEEE Global Communications Conference |
DocType | ISSN | Citations |
Conference | 2334-0983 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kaihui Liu | 1 | 5 | 3.14 |
Liangtian Wan | 2 | 44 | 9.89 |