Study of Joint MSINR and Relay Selection Algorithms for Distributed Beamforming
arXiv:1707.08189
Abstract
This paper presents joint maximum signal-to-interference-plus-noise ratio (MSINR) and relay selection algorithms for distributed beamforming. We propose a joint MSINR and restricted greedy search relay selection (RGSRS) algorithm with a total relay transmit power constraint that iteratively optimizes both the beamforming weights at the relays nodes, maximizing the SINR at the destination. Specifically, we devise a relay selection scheme that based on greedy search and compare it to other schemes like restricted random relay selection (RRRS) and restricted exhaustive search relay selection (RESRS). A complexity analysis is provided and simulation results show that the proposed joint MSINR and RGSRS algorithm achieves excellent bit error rate (BER) and SINR performances.
arXiv comment7 pages, 2 figures. arXiv admin note: text overlap with arXiv:1707.00953
References in corpus (4)
- Design of Robust Adaptive Beamforming Algorithms Based on Low-Rank and Cross-Correlation Techniques
- Distributed Space-Time Coding Based on Adjustable Code Matrices for Cooperative MIMO Relaying Systems
- Sparsity-Aware Adaptive Algorithms Based on Alternating Optimization with Shrinkage
- Direction Finding Algorithms with Joint Iterative Subspace Optimization