Joint power allocation and subchannel-pairing for two-way MIMO-OFDM relay system

Jiang, Qi; Liao, Xuewen; Ren, Pinyi; Gao, Zhenzhen

doi:10.1109/iccs.2012.6406103

Cited by 1 publication

(1 citation statement)

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“…Wang and Chen (2008) propose a low-complexity iterative power allocation algorithm. Jiang et al (2012) simplify hybrid optimisation problems into integer programming problems. And an integer programming method is used to solve the problem of OFDM resource allocation.…”

Section: Introductionmentioning

confidence: 99%

A resource allocation evolutionary algorithm for OFDM system

Wang

Liu

Li³

et al. 2017

IJCSE

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Abstract:Resource allocation for orthogonal frequency division multiplexing 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.Keywords: OFDM; resource allocation; evolutionary algorithm; simulated annealing algorithm.Reference to this paper should be made as follows: Wang, Q., Liu, H-L., Li, J-c. and Li, Y. Q. Wang et al.This paper is a revised and expanded version of a paper entitled 'Resource allocation for OFDM system based on evolutionary algorithm' presented at International

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Section: Introductionmentioning

confidence: 99%