Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Matrix computations (3rd ed.)
Swarm intelligence
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting
OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting
Space-Time Wireless Systems: From Array Processing to MIMO Communications
Space-Time Wireless Systems: From Array Processing to MIMO Communications
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Binary ant colony algorithm for symbol detection in a spatial multiplexing system
UC'07 Proceedings of the 6th international conference on Unconventional Computation
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This paper explores the application of the particle swarm algorithm for a NP-hard problem in the area of wireless communications. The specific problem is of detecting symbols in a Multi-Input Multi-Output (MIMO) communications system. This approach is particularly attractive as PSO is well suited for physically realizable, real-time applications, where low complexity and fast convergence is of absolute importance. While an optimal Maximum Likelihood (ML) detection using an exhaustive search method is prohibitively complex, we show that the Swarm Intelligence (SI) optimized MIMO detection algorithm gives near-optimal Bit Error Rate (BER) performance in fewer iterations, thereby reducing the ML computational complexity significantly. The simulation results suggest that the proposed detector gives an acceptable performance complexity trade-off in comparison with ML and VBLAST detector.