Research On Resource Allocation Algorithm For Access And Backhaul Integrated Small Base Stations

In the upcoming 5G communications,with the popularization of intelligent terminals and rich mobile broadband services,network traffic continuously increases.In order to meet the rapid development of mobile data services,it is necessary to deploy many low-power wireless access and backhaul integrated small base stations as the key technologies for implementing ultra-dense network deployment.How to efficiently allocate wireless resources of self-backhaul small base station is the primary problem for realizing flexible deployment of small base stations,and is also an effective method for improving spectrum utilization.In view of the above problems,this paper focuses on the problem of dynamic resource allocation of self-backhaul small base stations under the5 G ultra-dense network.The main research contents and innovations of the paper are summarized as follows:1.To maximize the quality satisfaction of all users for the video streaming service under the wireless self-backhaul small base station scene,a dynamic resource scheduling algorithm in wireless self-backhaul small base station is proposed in this paper.The algorithm dynamically adjusts the spectrum resources used for next-cycle queue transmission by updating the queue status information for user,observing the channel state information,and calculating the overflow probability to change the actual reachable rate of the system.The corresponding optimization model of the quality satisfaction of all users is established.Then,the Lyapunov stochastic optimization method is used to transform the initial problem into drift plus penalty,the overflow probability constraint is transformed into inequality.Finally,the target problem is decomposed into backhaul bandwidth allocation of user sub-problems and access bandwidth allocation of user sub-problems,backhaul and access bandwidth allocation sub-problems by using the hierarchical decomposition method,which could be solved by Lagrange dual decomposition algorithm and interior point method respectively,and the association mechanism between base station and users is also obtained during this process.The simulation results show that the algorithm can improve the stability of the system,and improve the quality satisfaction of all users.2.To maximize the relatively long-term spectral efficiency and energy efficiency of a full duplex wireless access and backhaul integrated small base station scene,a joint admission control and resource allocation optimization algorithms based on the theory of approximate dynamic programming is proposed in this paper.The algorithm firstly considers the resource usage and power configuration of the current small base station jointly,the dynamic arrival of user demand,the average delay as well as backhaul rate constraint and transmission power constraints.The corresponding multi-objective optimization model of maximum spectrum efficiency and minimizes power consumption is established by using the Markov decision process(MDP).Then,the Chebyshev theory is used to transform the initial problem into single-objective optimization problem,and the Lagrange dual decomposition method is used to convert the single-objective problem into unrestricted MDP problem.Finally,it can be solved by the proposed algorithm and the optimal access and resource allocation strategy instantly is obtained during this process.The simulation results show that the algorithm can maximize the long-term average spectrum efficiency and energy efficiency while ensuring the average delay constraint,backhaul rate constraint and transmission power constraint under the scenario of integrated access and backhaul small base station.