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A resource allocation evolutionary algorithm for OFDM system
- Source :
- International Journal of Computational Science and Engineering. 14:55
- Publication Year :
- 2017
- Publisher :
- Inderscience Publishers, 2017.
-
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.
- Subjects :
- Mathematical optimization
business.industry
Computer science
Orthogonal frequency-division multiplexing
Evolutionary algorithm
020206 networking & telecommunications
020302 automobile design & engineering
02 engineering and technology
Computational Mathematics
0203 mechanical engineering
Rate of convergence
Computational Theory and Mathematics
Hardware and Architecture
Max-min fairness
Modeling and Simulation
Simulated annealing
0202 electrical engineering, electronic engineering, information engineering
Resource allocation
Mobile telephony
business
Software
Subjects
Details
- ISSN :
- 17427193 and 17427185
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- International Journal of Computational Science and Engineering
- Accession number :
- edsair.doi.dedup.....25dd52f1c5ffce12c977ac8ea286632c
- Full Text :
- https://doi.org/10.1504/ijcse.2017.10002202