Dynamic resource allocation in OFDM systems using DE and FRBS

Article type: Research Article

Authors: Atta-ur-Rahman, | Qureshi, Ijaz Mansoor | Malik, Aqdas Naveed | Naseem, Muhammad Tahir

Affiliations: School of Engineering & Applied Sciences (SEAS), ISRA University, Islamabad Campus, Islamabad, Pakistan | Department of Electrical Engineering, Air University, Islamabad, Pakistan

Note: [] Corresponding author. Atta-ur-Rahman, School of Engineering & Applied Sciences (SEAS), ISRA University, Islamabad Campus, I-10 Markaz, Islamabad, Pakistan. Tel.: +92 323 5009822/+92 51 9290407; Fax: +92 51 9290409; E-mail: [email protected]

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.

Keywords: Differential evolution, OFDM, FRBS, BER, adaptive modulation and coding, optimum power vector

DOI: 10.3233/IFS-130880

Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 4, pp. 2035-2046, 2014