Low-Complexity Channel Estimation in 5G Massive MIMO-OFDM Systems

Symmetry

Qais Alsafasfeh¹  OmarA. Saraereh²  Imran Khan³  Salem Alemaishat⁴  Sunghwan Kim⁵ 

[1] Technology, Peshawar 814, Pakistan;Communications Engineering Department, King Abdullah II School of Engineering, Princess Sumaya University for Technology PSUT, Amman 11941, Jordan;;Department of Electrical Engineering, University of Engineering &Department of Electrical Power and Mechatronics, Tafila Technical University, Tafila 11183, Jordan;;School of Computing &

关键词: massive MIMO;    complexity;    signal detection;    feedback overhead;    pilot signal;   

DOI  :  10.3390/sym11050713

来源: DOAJ

【 摘 要 】

Pilot contamination is the reuse of pilot signals, which is a bottleneck in massive multi-input multi-output (MIMO) systems as it varies directly with the numerous antennas, which are utilized by massive MIMO. This adversely impacts the channel state information (CSI) due to too large pilot overhead outdated feedback CSI. To solve this problem, a compressed sensing scheme is used. The existing algorithms based on compressed sensing require that the channel sparsity should be known, which in the real channel environment is not the case. To deal with the unknown channel sparsity of the massive MIMO channel, this paper proposes a structured sparse adaptive coding sampling matching pursuit (SSA-CoSaMP) algorithm that utilizes the space−time common sparsity specific to massive MIMO channels and improves the CoSaMP algorithm from the perspective of dynamic sparsity adaptive and structural sparsity aspects. It has a unique feature of threshold-based iteration control, which in turn depends on the SNR level. This approach enables us to determine the sparsity in an indirect manner. The proposed algorithm not only optimizes the channel estimation performance but also reduces the pilot overhead, which saves the spectrum and energy resources. Simulation results show that the proposed algorithm has improved channel performance compared with the existing algorithm, in both low SNR and low pilot overhead.

【 授权许可】

Unknown