A resource allocation evolutionary algorithm for OFDM system. (2017)

• Record Type: Journal Article
• Authors: Wang, Qiang; Liu, Hai-Lin; Li, Jiong-cheng; Li, Yun
• Is Part Of: International journal of computational science and engineering. Volume 14:Number 1(2017)
• Page Start: 55
• Page End: 63
• Publication Date: 2017
• Subjects: OFDM -- orthogonal frequency division multiplexing -- resource allocation -- evolutionary algorithms -- simulated annealing -- 4th generation -- mobile communications -- carrier allocation -- power allocation -- fairness -- simulation; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

Resource allocation for orthogonal frequency division multiplexing (OFDM) system, as a core technology for the 4th generation mobile communication system, has shown significant importance in the improvement of system transmission rate. At present, the two-step algorithm is described as a main method to deal with resource allocation for OFDM system. As carrier allocation and power allocation are not independent of each other, the two-step algorithm may result in lower complexity but poor convergence. This paper proposes a mixed evolutionary algorithm to allocate sub-carrier and power at the same time. It combines the simulated annealing algorithm and evolutionary algorithm. This paper also improves the definition of fairness in OFDM system. It can achieves perfect fairness among users while maintaining the efficient capacity performance. Simulation results demonstrate that the proposed resource allocation algorithm can achieve perfect performance, and increase the convergence rate greatly meanwhile efficiently improving the system capacity.