Dynamic resource allocation in OFDM systems using DE and FRBS

  • Authors:
  • Atta-ur-Rahman;Ijaz Mansoor Qureshi;Aqdas Naveed Malik;Muhammad Tahir Naseem

  • Affiliations:
  • School of Engineering & Applied Sciences SEAS, ISRA University, Islamabad Campus, Islamabad, Pakistan;Department of Electrical Engineering, Air University, Islamabad, Pakistan;School of Engineering & Applied Sciences SEAS, ISRA University, Islamabad Campus, Islamabad, Pakistan;School of Engineering & Applied Sciences SEAS, ISRA University, Islamabad Campus, Islamabad, Pakistan

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2014

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Abstract

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.