The Research On Resource Management In Dense Networks Based On Environment Aware

In order to cope with the rate requirements of the explosive growth of mobile user equipments,the current wireless communication network is evolving to the next generation communication network.Because dense heterogeneous networks can make the limited spectrum resources reuse more frequently,it is considered one of the key technologies of the next generation network to enhance the system capacity.Meanwhile,due to the millimeter wave resources can make up for the current shortage of frequency resources,which will be widely used in the next generation of communication networks.The increase of network nodes intensity,the spectrum resources are used efficiently,but also bring some new problems,such as serious inter-cell interference,backhaul network construction and other issues.This thesis studies the problem of cross-layer interference in dense heterogeneous networks and the problem of spectrum resource allocation in self-backhaul network of dense heterogeneous networks.The main contents and innovations are summarized as follows:1.Aiming at the problem that the macro base stations in the heterogeneous network have serious interference to the small base stations,which causes the low system edge spectrum efficiency and the high average packet loss rate.In this thesis,a dense network interference coordination algorithm based on traffic perception was proposed.The algorithm utilizes the discrete Markov-Modulated Poisson process to model the dynamic user traffic firstly,and then use the partially observable Markov decision process to perceive the number of packets in the current adjustment period.Subsequently,the proposed algorithm,from the perspective of time domain resource management,decides dynamically the almost blank subframe ratio based on the amount of data to be sent and the user queue status.The simulation results show that the proposed algorithm can effectively improve the edge spectrum efficiency.Meanwhile,the average packet loss rate is significantly reduced by considering the change of the user queue status.2.This thesis proposes a resource allocation scheme to solve the problem of resource allocation in the self-backhaul network,which considers the user association and the backhaul link comprehensively.This scheme firstly redecides the user association with small basestations based on the macro signal quality received by mobile users.Then,the appropriate backhaul link which requires the minimum resource is selected for each small base station.Finally,after satisfying the minimum transmission requirement of users,this scheme gives priority to allocating the remaining resources for the user which have high spectrum efficiency.The simulation results show that,compared with the existing resource allocation scheme,the proposed scheme improves the efficiency of spectrum resource utilization significantly.