Joint Optimization of Device to Device Resource and Power Allocation Based on Genetic Algorithm
- UNCW Author/Contributor (non-UNCW co-authors, if there are any, appear on document)
- Gulustan Dogan (Creator)
- Institution
- The University of North Carolina Wilmington (UNCW )
- Web Site: http://library.uncw.edu/
Abstract: Device-to-device (D2D) communication plays an important role in the next generation ofcommunication systems. Enabling D2D communication decreases latency and expands the coverage of acell in cellular networks. In addition, D2D underlaying cellular users benefit from high spectral efficiency.However, it creates interference to cellular communications. In this paper, we propose a genetic algorithmbased method to minimize the interference and maximize the spectral efficiency. One of the advantagesof genetic algorithm is that it escapes from local maximums and evolves toward global maximum bysearching different parts of search space simultaneously. Since D2D underlay cellular network degrades thesignal-to-interference plus noise ratio (SINR), a minimum SINR is considered for cellular users. Numericalevaluations demonstrate the superior performance of the proposed technique in terms of spectral efficiencyand interference mitigation.
Joint Optimization of Device to Device Resource and Power Allocation Based on Genetic Algorithm
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Created on 11/1/2023
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Additional Information
- Publication
- H. Takshi, G. Dogan and H. Arslan, "Joint Optimization of Device to Device Resource and Power Allocation Based on Genetic Algorithm," in IEEE Access, vol. 6, pp. 21173-21183, 2018, doi: 10.1109/ACCESS.2018.2826048.
- Language: English
- Date: 2018
- Keywords
- Genetic algorithms, Wireless communication systems