Elias Stipidis

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An effective design of multistage parallel interference cancellation (PIC) receiver using blind adaptive (BA) despreader and pre-respreader interference estimator for uplink CDMA is proposed and analysed. A novel algorithm is designed, which exploits constant modulus (CM) property of the users’ transmitted signals and inherent channel condition to perform(More)
Distributed processing is an essential part of collaborative computing techniques over ad-hoc networks. In this paper, a generalized particle swarm optimization (PSO) model for communication networks is introduced. A modified version of PSO, called trained PSO (TPSO), consisting of distributed particles that are adapted to reduce traffic and computational(More)
In this paper, we introduce blind adaptive interference cancellation for a practical uplink CDMA effected by multiple access interference (MAI) in cooperative communications systems scenario. During the collaboration phase, each paired users exchange their data to communicate with the base-station by using their own and pairing userspsila channels to(More)
We investigate the BER and achievable rate of user cooperation schemes in practical uplink CDMA channels with multiple access interference (MAI). It is shown that when the system loading increases, cooperation alone becomes less effective if simple matched filters (MF) followed by combining from each partnerspsila signals are employed for obtaining decision(More)
Particle swarm optimization (PSO) is a well- known technique in artificial intelligence (AI) for n- dimensional optimization problems. In this paper we extend the application of PSO to physical layer of communication systems and propose a simple target-customized PSO algorithm that could be used in centralized iterative optimization techniques. It is(More)