基于边缘缓存的蜂窝网络的资源分配

Resource allocation in cellular networks based on edge caching

物联网(IoT)的广泛应用和通信技术的飞速发展引起移动数据流量爆炸式增长,给网络运营商造成巨大的能源消耗。因此,提高能效是5G和6G时代面临的重要挑战。在支持缓存的蜂窝网络中做了资源分配,通过将问题建模为混合整数问题,可获得最优解。目标是在满足服务质量(QoS)要求的前提下,联合优化基站发射功率和任务传输调度策略,并探讨了缓存命中率对总能耗的影响。仿真结果表明,文章方案在能耗方面表现良好,并且提高缓存命中率有降低总能耗的作用。

The widespread application of Internet of Things(IoT)and the rapid development of communication technologies have led to the explosive growth of mobile data traffic,which has brought huge energy consumption to network operators.Therefore,improving energy efficiency is an important challenge in the 5G and 6G era.In this paper,we make resource allocation in cache⁃enabled cellular networks and the optimal solution can be obtained by modeling the problem as a mixed integer programming problem.The objective is to jointly optimize the base station transmit power and task transfer scheduling while satisfying the quality of service(QoS)requirements,and explore the impact of cache hit rate on the total energy consumption.Simulation results show that our proposed scheme performs well in terms of energy consumption and that increasing the cache hit rate has the effect of re⁃ducing the total energy consumption.