Resource Allocation And Energy Management In Heterogeneous Networks Powered By Hybrid Energy

With the advancement of global information industrialization,the ICT industry is growing rapidly.It has not only improved the world people's life and the way of working but also promoted the development of social economy.Traditional cellular networks expand themselves by means of new wireless channel technologies and making full use of limited bandwidth,which has been far from meeting the explosive growth of current wireless traffic.At the same time,the problem of energy consumption in wireless networks has become increasingly prominent.The search about efficient network structures and optimization algorithms has become the trend to adapt to the development of communication networks.Therefore,green heterogeneous cellular networks emerge at the right moment.The green heterogeneous cellular network consists of base stations with different powers and different coverage areas.The base stations are powered by renewable energy sources.Heterogeneous cellular networks support multiple network access and can provide users with high-quality and high-performance services.However,the complex network environment brings about unavoidable interference problems.The finite spectrum resources limit the development of the network.At the same time,the randomness and volatility of the renewable energy sources are easy to cause unstable power supply.Therefore,the research on the interference management,spectrum efficiency and energy efficiency of heterogeneous cellular networks powered by hybrid energy has become the focus of attention.Therefore,this paper consists of the following parts:(1)For densely deployed two-tier heterogeneous cellular networks,the problem of interference management and resource allocation based on the mean-field game is studied.Due to the dense distribution of small cell base stations,the co-tier interference between micro base stations cannot be ignored.At the same time,higher requirements are imposed on the complexity of the algorithm.For OFDMA downlink cellular network,the interference management and resource allocation problem are considered in the dense HetNet network.Mean field approximation is used to quantify the co-tier interference of a single SBS from other micro base stations.The SBSs' state and transition equation are studied to model mean field game.This paper designs the cost function combining the service quality and energy-saving and analyze HJB and FPK equations to achieve dynamic control.Finally,distributed power control scheme is proposed in the dense HetNet to solve the problem that the algorithm is too complicated in the dense networks.(2)Resource allocation and energy cooperation for hybrid-access heterogeneous cellular networks powered by renewable energyDue to the finite spectrum resources,the improvement of network performance is limited.How to make full use of network resources is another focus of our research.The two-tier HetNet network powered by renewable energy is considered,in which macro users adopt hybrid access mode,that is,macro users can choose macro base stations or micro base stations to provide services according to transmission requirements.Hybrid access mode can improve network service quality,and realize continuity of transmission services.Meanwhile,the volatility of renewable energy also limits the transmission performance,so the alogrithm achieve energy cooperation between the base stations with the help of the smart grid to improve energy efficiency.Based on this,the resource allocation and energy cooperation problem is considered in the hybrid-access HetNets to maximize the network throughput.Considering the uncertainty of data arrival and energy arrival,virtual data buffer and decompose the optimization problem into three sub-problems: admission rate control,and resource allocation and energy cooperation.The user association scheme and energy cooperation strategy are determined,and an online algorithm is proposed.(3)Spectrum sharing and energy management in the heterogeneous networks powered by hybrid energy supplyDue to the randomness and intermittency of renewable energy,the heterogeneous cellular network powered by renewable energy cannot fully adapt to the time-varying network load.Therefore,the introduction of grid power is conducive to providing a stable supply of electricity.Based on a hybrid energy-powered HetNet network,spectrum sharing technology is used to increase the utilization of spectrum resources and maximize the overall network efficiency by redistributing spectrum resources.We establish data queues and energy queues,and then set up utility indicators related to spectrum efficiency,energy efficiency,and shared benefits.We use Lyapunov optimization method to decompose the optimization problem into several subproblems such as admission rate control,spectrum sharing scheme,resource allocation and energy management,and an on-line control algorithm is proposed based on this.We analyze the algorithm performance to prove the stability of the network.Finally,the simulation results of the proposed algorithm show the advantages of the algorithm.