Joint Optimization of Device to Device Resource and Power Allocation Based on Genetic Algorithm | Zendy

Hengameh Takshi | Zendy; Gulustan Dogan | Zendy; Huseyin Arslan | Zendy

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Joint Optimization of Device to Device Resource and Power Allocation Based on Genetic Algorithm

Author(s) -

Hengameh Takshi,

Gulustan Dogan,

Huseyin Arslan

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2826048

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Device-to-device (D2D) communication plays an important role in the next generation of communication systems. Enabling D2D communication decreases latency and expands the coverage of a cell 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 algorithm-based method to minimize the interference and maximize the spectral efficiency. One of the advantages of genetic algorithm is that it escapes from local maximums and evolves toward global maximum by searching different parts of search space simultaneously. Since D2D underlay cellular network degrades the signal-to-interference plus noise ratio (SINR), a minimum SINR is considered for cellular users. Numerical evaluations demonstrate the superior performance of the proposed technique in terms of spectral efficiency and interference mitigation.

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