JOURNAL ARTICLE

Low Complexity Transmit Antenna Selection for MIMO Systems

Abstract

In multiple-input multiple-output (MIMO) systems, transmit antenna selection is a very promising technique for reducing implementation cost and computational complexity. In this paper, we propose two novel fast near-optimal antenna selection algorithms based on channel capacity maximization, whose core idea is to use an effective iterative process to reduce computational complexity and retain near-optimal performance. Compared with the conventional algorithm, the proposed algorithms have lower computational complexity and achieve almost the same capacity and bit-error rate (BER) performance as the optimal one. In particular, the BER performance gain of the proposed algorithms is much larger than the conventional algorithms in correlated fading channels. Finally, computer simulations are presented to validate and demonstrate performance of our algorithms.

Keywords:
Computational complexity theory Computer science MIMO Bit error rate Antenna (radio) Selection (genetic algorithm) Maximization Algorithm Fading Channel capacity Channel (broadcasting) Mathematical optimization Telecommunications Mathematics Decoding methods Artificial intelligence

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Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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