基于绿色能源感知的效用函数异构网络接入算法

Utility Function Heterogeneous Network Access Algorithm Based on Green Energy Perception

在5 G移动通信网络中,大量采用绿色和电网能源混合供电的通信基站可以显著降低运营成本。针对异构网络混合能源供电基站的用户接入问题,文中提出了基于绿色能源感知的综合效用函数接入算法(Green Energy Perception Comprehensive utility function,GEPC)和结合调节的综合效用函数接入算法(Green Energy Perception based Comprehensive unility function Adjustment algorithm,GEPCA)。用户首先根据基站的绿色能源状况、接入信噪比等接入选择参数加权计算出效用值,选择效用值最小的基站接入,用户接入基站后,通过基站对接入用户进行调节来实现降低总能耗费用的效果。MATLAB仿真表明:GEPC算法在低负载时相比于RSRP(基于用户接收信号强度)、SINR(基于用户最大信干噪比)算法可以更有效地降低总能量消耗费用;在高负载时GEPCA算法和NEAT(绿色能源用户感知接入)算法相比显著提高了绿色能源的利用率,使之达到90%,同时有利于实现异构网络的负载均衡。

In the 5G mobile communication network,a large number of communication base stations using green and grid energy mixed power supply can reduce operating costs significantly.Aiming at the problem of user access of base stations supplied by hybrid energy in heterogeneous networks,a comprehensive utility function access algorithm based on green energy perception and a green energy perception based comprehensive utility function adjustment algorithm were proposed.The user first calculates the utility value according to the green energy status of the base station,the access signal-to-noise ratio and other access selection parameters,and selects the base station with the smallest utility va-lue to access.After the user accesses the base station,the algorithm adjusts the access user through the base station to reduce the cost of energy costs.By using MATLAB platform,simulation results show that the GEPC algorithm can reduce the total energy consumption cost more effectively at low load compared to RSRP(based on user received signal power)and SINR(based on user maximum signal to interference and noise ratio)algorithm.Compared with the NEAT(Green Energy User Awareness Access)algorithm,the GEPCA algorithm significantly improves the utilization of green energy to 90%and is beneficial to heterogeneous network load balancing at high load.