Diversity Assisted Block PIC for synchronous CI/MC-CDMA uplink system using Genetic Algorithms

Maity, Suvendu; Hati, Sumanta; Maity, Santi P.

doi:10.1109/iciinfs.2008.4798486

Cited by 3 publications

(2 citation statements)

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“…To improve further BER performance several forms of multiuser detection in CDMA is reported like [4]. We finally integrate block PIC scheme in [20] with the proposed adaptive power allocation scheme to improve BER performance at high user capacity. In brief, users are classified into different groups, namely, very strong, strong, weak and very weak based on the magnitudes of decision statistics.…”

Section: Performance Evaluationmentioning

confidence: 99%

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Adaptive Technique for CI/MC-CDMA System using Combined Strategy of Genetic Algorithms and Neural Network

Maity

Hati

2012

NPA

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Multicarrier Code Division Multiple Access (MC-CDMA) is one of the most promising techniques for high bit rate and high user capacity transmission in future broadband mobile services. The use of carrier interferometry (CI) codes further improves this user capacity relative to the conventional spreading codes. Genetic Algorithms (GA) may be used to find the optimum transmitted powers that maximize the channel transmission capacity as well as to reduce bit error rate (BER) values. On the other hand, neural networks (NN) are trained to optimize the weight factors in minimum mean square error combining receiver (MMSEC) via back propagation type algorithm. Optimum values of weight factors give stable decision variables that lead to improved receiver performance without having the knowledge of channel state information (CSI) and transmit signal powers. Decision variables are then used for realization of an efficient block parallel interference cancellation (BPIC) as multiuser detection (MUD). Simulation results show that BER performance using GA-NN is better than any other existing works.

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Section: Performance Evaluationmentioning

confidence: 99%

“…These initial estimates are then used to evaluate the MAI experienced by each user in the interference cancellation techniques [20]. Eq.…”

Section: Receiver Modelmentioning

confidence: 99%