The 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.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-1778 |
| Date | 02 June 2009 |
| Creators | Jaber, Dana N. |
| Contributors | Georghiades, Costas N. |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | electronic, application/pdf, born digital |
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