Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Matrix computations (3rd ed.)
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Space-Time Wireless Systems: From Array Processing to MIMO Communications
Space-Time Wireless Systems: From Array Processing to MIMO Communications
A particle swarm algorithm for symbols detection in wideband spatial multiplexing systems
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Introducing a binary ant colony optimization
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Guest editorial: special section on ant colony optimization
IEEE Transactions on Evolutionary Computation
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
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While an optimal Maximum Likelihood (ML) detection using an exhaustive search method is prohibitively complex, we show that binary Ant Colony Optimization (ACO) based Multi-Input Multi-Output (MIMO) detection algorithm gives near-optimal Bit Error Rate (BER) performance with reduced computational complexity. The simulation results suggest that the reported unconventional detector gives an acceptable performance complexity trade-off in comparison with conventional ML and non-linear Vertical Bell labs Layered Space Time (VBLAST) detectors. The proposed technique results in 7- dB enhanced BER performance with acceptable increase in computational complexity in comparison with VBLAST. The reported algorithm reduces the computer time requirement by as much as 94% over exhaustive search method with a reasonable BER performance.