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Optimal resource allocation for transmission diversity in multi-radio access networks: a coevolutionary genetic algorithm approach

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Abstract

The next generation wireless communication systems aim at supporting enhanced diversified network access and data transmission abilities via the cooperative integration and unified management of various radio access technologies (RATs). The resource allocation is the core component leading the network system and mobile terminals to the service robustness and performance maximization. In this paper, a numeric optimization model for optimizing terminals’ transmission power and allocated RAT bandwidth for maximizing system capacity is proposed with the focal consideration of the multi-radio transmission diversity for parallel transmission through multiple links from different RATs, and different terminal characteristics on RAT supports. Also, we design a centralized and periodic scheduling algorithm including an improved coevolutionary genetic algorithm for efficiently solving the optimization problem. Simulation results demonstrate that our propose algorithm can distinctly enhance the system performance and improve the computational efficiency.

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Authors and Affiliations

  1. Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    WenHao Fan, YuanAn Liu & Fan Wu

  2. Wireless Communications and EMC Laboratory, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    WenHao Fan, YuanAn Liu & Fan Wu

Authors
  1. WenHao Fan
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  2. YuanAn Liu
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  3. Fan Wu
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Correspondence to WenHao Fan.

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Fan, W., Liu, Y. & Wu, F. Optimal resource allocation for transmission diversity in multi-radio access networks: a coevolutionary genetic algorithm approach. Sci. China Inf. Sci. 57, 1–14 (2014). https://doi.org/10.1007/s11432-012-4737-x

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  • DOI: https://doi.org/10.1007/s11432-012-4737-x

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