NOVEL LOW-COMPLEXITY ANT COLONY BASED MULTIUSER DETECTOR FOR DIRECT SEQUENCE CODE DIVISION MULTIPLE ACCESS
2005 ◽
Vol 05
(02)
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pp. 201-214
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Keyword(s):
In this paper, we present a novel multiuser detection (MUD) technique based on ant colony optimisation (ACO), for synchronous direct sequence code division multiple access systems. ACO algorithms are based on the cooperative foraging strategy of real ants. While an optimal MUD design using an exhaustive search method is prohibitively complex, we show that the ACO-based MUD converges to the optimal bit-error-rate performance in relatively few iterations providing 95% savings in computational complexity. This reduction in complexity is retained even when considering users with unequal received powers.
2016 ◽
Vol 13
(3)
◽
pp. 2193-2198
2006 ◽
Vol 24
(3)
◽
pp. 289-298
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2019 ◽
Vol 15
(1)
◽
pp. 155014771982600
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