Multi-input multi-output (MIMO) detection by a colony of ants

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dc.contributorGeorghiades, Costas N.
dc.creatorJaber, Dana N.
dc.date.accessioned2010-01-15T00:14:55Z
dc.date.accessioned2010-01-16T02:09:50Z
dc.date.accessioned2017-04-07T19:56:44Z
dc.date.available2010-01-15T00:14:55Z
dc.date.available2010-01-16T02:09:50Z
dc.date.available2017-04-07T19:56:44Z
dc.date.created2006-08
dc.date.issued2009-06-02
dc.description.abstractThe traditional mobile radio channel has always suffered from the detrimental effects of multipath fading. The use of multiple antennae at both ends of the wireless channel has proven to be very effective in combatting fading and enhancing the channel's spectral efficiency. To exploit the benefits offered by Multi-Input Multi-Output (MIMO) systems, both the transmitter and the receiver have to be optimally designed. In this thesis, we are concerned with the problem of receiver design for MIMO systems in a spatial multiplexing scheme. The MIMO detection problem is an NP-hard combinatorial optimization problem. Solving this problem to optimality requires an exponential search over the space of all possible transmitted symbols in order to find the closest point in a Euclidean sense to the received symbols; a procedure that is infeasible for large systems. We introduce a new heuristic algorithm for the detection of a MIMO wireless system based on the Ant Colony Optimization (ACO) metaheuristic. The new algorithm, AntMIMO, has a simple architecture and achieves near maximum likelihood performance in polynomial time.
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1778
dc.language.isoen_US
dc.subjectMIMO
dc.subjectAnt Colony Optimization
dc.subjectMaximum-Likelihood
dc.subjectLabView
dc.titleMulti-input multi-output (MIMO) detection by a colony of ants
dc.typeBook
dc.typeThesis

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