DocumentCode :
2986395
Title :
Adaptive Resources Allocation Algorithm Based on Genetic for Power-Line Communication System
Author :
Sheng, Li ; Zhi-qiang, Xu
Author_Institution :
Dept. of Electr. & Electron Eng., Univ. of South China, Hengyang, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
3265
Lastpage :
3270
Abstract :
A multi-layer multi-objective resource model is analyzed for multi-user multi-service power line communication OFDM system on the multi-sub-carrier at each slot under the constraints of the largest total power of each slot, the required fixed bit number of the real-time (RT) users, the required minimum number of bits of the non-real time (NRT) users, the allowed maximum power and the bit number of each sub-carrier. A genetic optimization algorithm of dynamic resource allocation with adaptive power and rate is proposed, which firstly gets Pareto non-inferior sets of RT users´ resource allocation included resource factor and calculates the residual power and subcarrier resources of the corresponding system from each Pareto solution, then allocates resources for NRT users from the residual resources by single-objective genetic algorithm, at last finds the global optimum allocation of system resources in all the resource allocation sets of RT and corresponding NRT users. The simulation results show that the performance of the proposed algorithm is better than other existing multi-user resource allocation algorithms and more to meet the multi-objective requirements of resource allocation for multi-user multi-service power line communication.
Keywords :
OFDM modulation; Pareto optimisation; carrier transmission on power lines; genetic algorithms; real-time systems; resource allocation; OFDM; Pareto non-inferior sets; adaptive resources allocation; dynamic resource allocation; genetic optimization algorithm; multilayer multi-objective resource model; power-line communication system; Adaptive systems; Bit error rate; Genetics; Heuristic algorithms; OFDM; Power line communications; Resource management; adaptive OFDM; genetic optimization; multilayer resource allocation; power line communication; resource factor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.797
Filename :
5630196
Link To Document :
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