Iterative Signal Detection Based on LRE-CG Method for Uplink Massive MIMO Systems
- Resource Type
- Conference
- Authors
- Jawarneh, Ahlam; Kadoch, Michel
- Source
- 2021 International Wireless Communications and Mobile Computing (IWCMC) Wireless Communications and Mobile Computing (IWCMC), 2021 International. :1798-1801 Jun, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Wireless communication
Simulation
Massive MIMO
Mobile antennas
Approximation algorithms
Robustness
Complexity theory
Neumann series approximation
Massive MIMO Systems
long recurrence enlarged conjugate gradient (LRE-CG)
Gauss-Siedel iterative (GS)
conjugate gradient (CG)
- Language
- ISSN
- 2376-6506
The minimum mean square error (MMSE) algorithm is known to be a near-optimal to uplink the large-scale multiple-input-multiple-output (MIMO) systems, however, there are some complexities involved in the procedure in relation to the matrix inversion. This paper proposes that long recurrence enlarged conjugate gradient (LRE-CG) method could be exploited for iteratively realizing the MMSE algorithm while avoiding the matrix inversion complexities. It has been verified by the simulation results that the proposed method outperforms the conventional methods in the literature including the Neumann series approximation-based approach and Gauss-Siedel iterative (GS) methods. The proposed algorithm succeeds to attain near-optimal performance of a typical MMSE algorithm with minimal level of iterations.