Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China 在知网中查找 在百度中查找 在本站中查找
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Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
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摘要:
针对D2D(Device to device, D2D)通信技术在蜂窝系统中的资源分配与干扰问题,提出一种基于改进遗传算法的D2D资源分配策略。首先,确定保证蜂窝用户和D2D用户通信质量的功率范围,然后提出一种改进的遗传算法来确定D2D的最佳发射功率,最大化系统吞吐量。该算法在保证蜂窝系统服务质量(Quality-of-service, QoS)的同时,让交叉算子和变异算子随进化代数进行自适应变化,从而达到全局最优。仿真结果表明,本文所提算法可有效提升系统吞吐量并提高D2D用户的信道利用率。
Aiming at the problem of resource allocation and interference of D2D (Device to device) communication technology in cellular system, a D2D resource allocation strategy based on the improved genetic algorithm is proposed. Firstly, the power range to ensure the communication quality between cellular users and D2D users is determined, and then an improved genetic algorithm is proposed to determine the optimal transmit power of D2D to maximize the system throughput. The algorithm guarantees the quality-of-service-e (QoS) of cellular system, and makes crossover operator and mutation operator change adaptively with evolution algebra, so as to achieve the global optimization. Simulation results show that the proposed algorithm can effectively improve system throughput and channel utilization of D2D users.