A course in fuzzy systems and control
A course in fuzzy systems and control
Journal of Global Optimization
Computationally Efficient Resource Allocation in OFDM Systems: Genetic Algorithm Approach
ITNG '07 Proceedings of the International Conference on Information Technology
Adaptive Resource Allocation in Multiuser OFDM System Based on Genetic Algorithm
CMC '09 Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01
Wireless Personal Communications: An International Journal
Resource allocation scheme with proportional fairness for multi-user downlink MIMO-OFDMA-CDM systems
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Wireless Personal Communications: An International Journal
Mutual-Information-Based Adaptive Bit-Loading Algorithms for LDPC-Coded OFDM
IEEE Transactions on Wireless Communications
Bit-interleaved coded modulation
IEEE Transactions on Information Theory
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Dynamic allocation of the resources for optimum utilization is one of the most important fields of study in engineering as well as other disciplines nowadays. In this process the available resources are allocated in such a way that these resources are maximally utilized to enhance the overall system throughput while satisfying certain constraints at the same time. In this paper a similar constrained optimization problem is focused for Orthogonal Frequency Division Multiplexing OFDM environment, in which the transmission parameters namely code rate, modulation scheme and power are adapted in such a way that overall system data rate is maximized with a constrained bit error rate and transmit power. This is a highly non-linear problem that cannot be solved by ordinary linear optimization techniques. A Fuzzy Rule Base System FRBS is proposed for adapting the code rate and modulation scheme while Differential Evolution is used for choosing the optimum power vector. The proposed scheme is compared with other schemes.