Affiliation:
1. School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730000, China
Abstract
Signal detection in massive MIMO systems faces many challenges. The minimum mean square error (MMSE) approach for massive multiple-input multiple-output (MIMO) communications offer near to optimal recognition but require inverting the high-dimensional matrix. To tackle this issue, a Gauss–Seidel (GS) detector based on conjugate gradient and Jacobi iteration (CJ) joint processing (CJGS) is presented. In order to accelerate algorithm convergence, the signal is first initialized using the optimal initialization regime among the three options. Second, the signal is processed via the CJ Joint Processor. The pre-processed result is then sent to the GS detector. According to simulation results, in channels with varying correlation values, the suggested iterative scheme’s BER is less than that of the GS and the improved iterative scheme based on GS. Furthermore, it can approach the BER performance of the MMSE detection algorithm with fewer iterations. The suggested technique has a computational complexity of O(U2), whereas the MMSE detection algorithm has a computational complexity of O(U3), where U is the number of users. For the same detection performance, the computational complexity of the proposed algorithm is an order of magnitude lower than that of MMSE. With fewer iterations, the proposed algorithm achieves a better balance between detection performance and computational complexity.
Funder
Natural Science Foundation of Ningxia
Science and Technology Plan of Gansu Province
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference31 articles.
1. A review on activities of fifth generation mobile communication system;Kumar;Alex. Eng. J.,2017
2. Srinivas, P., Miriyala, R.S., Matsa, N., Lakshmi Kantham, M.S.N.V.A., Yallapu, S., and Ch, V.R. (2023, January 23–25). Capacity Evaluation of MIMO System:with and without Successive Interference Cancellation. Proceedings of the 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India.
3. Low Complexity Linear Detectors for Massive MIMO: A Comparative Study;Albreem;IEEE Access,2021
4. On the BER Performance of Constant Envelope OFDM in Frequency Selective MIMO Channels with ML Detection;Wang;IEEE Wirel. Commun. Lett.,2023
5. Rate analysis of ZF receiver for uplink cell-free massive MIMO systems with D2D communications;Zhou;Phys. Commun.,2023