JOURNAL ARTICLE

Resource Allocation for OFDMA System Based on Genetic Algorithm

Abstract

In traditional resource allocation for OFDMA, the packet scheduling and subcarriers allocation are optimized independently. In order to improve the whole system performance, a resource allocation algorithm based on genetic algorithm was proposed, in which the packet scheduling and subcarriers allocation are optimized jointly. To maximize system throughput and guarantee fairness among users, the proposed algorithm uses stochastic approximation methods to control the parameter in scheduling; meanwhile uses a genetic algorithm to solve the subcarriers allocation problem. It is demonstrated in the simulation result that the proposed algorithm can improve the system performance in terms of throughput, packet loss rate, packet delay and fairness.

Keywords:
Computer science Fairness measure Scheduling (production processes) Resource allocation Genetic algorithm Network packet Frequency-division multiple access Throughput Orthogonal frequency-division multiplexing Mathematical optimization Max-min fairness Maximum throughput scheduling Fair-share scheduling Computer network Distributed computing Algorithm Round-robin scheduling Wireless Quality of service Mathematics

Metrics

11
Cited By
0.93
FWCI (Field Weighted Citation Impact)
6
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
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