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ARTICLE
A Novel Approximate Message Passing Detection for Massive MIMO 5G System
1 Department of Computer Science & Engineering, JECRC University, Jaipur, India
2 Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai, India
3 Department of Electronics and Communication Engineering and University Centre for Research & Development, Chandigarh University, Mohali, India
4 Department of Information Technology, College of Computer and Information Technology, Taif University, P.O. Box 11099, Taif, 21994, Saudi Arabia
5 Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, Saudi Arabia
6 Department of Electronics and Communication Engineering, JECRC University, Jaipur, India
* Corresponding Author: Arun Kumar. Email:
Computer Systems Science and Engineering 2023, 45(3), 2827-2835. https://doi.org/10.32604/csse.2023.033341
Received 14 June 2022; Accepted 11 August 2022; Issue published 21 December 2022
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.Keywords
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