Resource Management For Energy Efficient Traffic Offloading In Wireless Networks:Research And Realization

Mobile devices and mobile web services have developed rapidly in recent years,which generates huge amounts of traffic in cellular networks.The operators need to propose a cost-effective solution to solve the cellular network resource shortage.Traffic offloading is a way to solve the explosive growth of mobile network data,which offloads part of cellular network data to complementary networks.It can reduce cellular network load,improve user experience,and decrease prices.In addition,the Third Generation Partnership Project(3GPP)proposes dual-connectivity technology.The technology enables mobile users to connect to macro cellular base stations and an other co-existing network access point simultaneously through two different interfaces.It means that each mobile user(MU)can connect with the macro Base Station(mBS)while connecting to other network access points(Access Points,APs).This technique effectively helps users to efficiently schedule their own traffic requirements and power demands.Based on the advantages of traffic offloading and dual-connectivity,this paper designs a dual-connectivity data offloading scheme to optimize the allocation of resources in the data offloading network.The main contents and contributions of this thesis are as follows:1.In the scenario of single-cell model,an optimal resource allocation scheme is designed to minimize the cost of user power consumption.The scheme optimizes the power performance by scheduling the traffic of MUs and optimizes the efficiency of the system.In this chapter,through the analysis of the features and characteristics of the modeling problem,we first make the equivalent transformation of the problem and decompose the problem into a subproblem and a top problem.We propose an optimization algorithm based on the bisection method to solve the subproblem,and then based on the solution of the subproblem,we propose an enumeration based linear search optimization algorithm to solve the top problem.The simulation results of this chapter validate the accuracy and efficiency of the proposed optimization algorithm.2.In the scenario of muti-cell model,a scheme of optimal resource allocation based on dual-connectivity power consumption minimization is designed.We divide the problem into two subproblems and solve them one by one.First,we minimize the user's power consumption in a single cellular model.Then,the effective algorithm is solved based on the conclusion of a single cellular.We first analyze the model characteristics of the problem,and prove their equivalent transformation is a strictly convex optimization problem.Then,based on the theory of convex optimization,we use bisection method to solve the problem.Based on the solution for the single cell,we design a simulated annealing based algorithm to get the global optimal solution.Thus the joint user-selection,traffic scheduling and power allocation problem is solved.Then the accuracy and efficiency of the optimization algorithm are verified by numerical simulation.3.We use MATLAB software to implement the platform of traffic offloading GUI platform.The algorithms of Chapter 2 and Chapter 3 are integrated with GUI interface and the data is visualized on the platform.We can use this GUI platform by firstly setting up the parameters in the input area and then selecting the algorithm in the functional area.Then,the algorithm results are executed in the form of programming,and the results of the optimization scheme will be displayed on the GUI platform.We use the form of the graph to describe the simple data in the form of graphic images,which can be used by users to get the specific execution process and advantages of the algorithm.