Samer L. Hijazi

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— In this paper, we present a novel multiuser detection (MUD) technique based on ant colony optimization (ACO), for synchronous multi-carrier code division multiple access (MC-CDMA) 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(More)
This paper explores the application of the ant colony algorithm for an NP-complete problem in the area of wireless communications. The specific problem is one of detecting users (binary vectors) in a multi-user environment in synchronous MC-CDMA (multi-carrier Code Division Multiple Access) systems, such that the total interference noise in minimized. This(More)
Wireless broadband communications is a rapidly growing industry. New enabling technologies such as multi-carrier code division multiple access (MC-CDMA) are shaping the future of wireless systems. However, research efforts in improving MC-CDMA receiver performance have received limited attention and there is a need for innovative receiver designs for next(More)
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