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A Novel Approximate Message Passing Detection for Massive MIMO 5G System.

Authors :
Gour, Nidhi
Pareek, Rajneesh
Rajagopal, Karthikeyan
Sharma, Himanshu
Alnfiai, Mrim M.
AlZain, Mohammed A.
Masud, Mehedi
Kumar, Arun
Source :
Computer Systems Science & Engineering; 2023, Vol. 45 Issue 3, p2827-2835, 9p
Publication Year :
2023

Abstract

Massive-Multiple Inputs and Multiple Outputs (M-MIMO) is considered as one of the standard techniques in improving the performance of Fifth Generation (5G) radio. 5G signal detection with low propagation delay and high throughput with minimum computational intricacy are some of the serious concerns in the deployment of 5G. The evaluation of 5G promises a high quality of service (QoS), a high data rate, low latency, and spectral efficiency, ensuring several applications that will improve the services in every sector. The existing detection techniques cannot be utilised in 5G and beyond 5G due to the high complexity issues in their implementation. In the proposed article, the Approximation Message Passing (AMP) is implemented and compared with the existing Minimum Mean Square Error (MMSE) and Message Passing Detector (MPD) algorithms. The outcomes of the work show that the performance of Bit Error Rate (BER) is improved with minimal complexity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02676192
Volume :
45
Issue :
3
Database :
Supplemental Index
Journal :
Computer Systems Science & Engineering
Publication Type :
Academic Journal
Accession number :
161541264
Full Text :
https://doi.org/10.32604/csse.2023.033341