Network Design And Optimization Of Heterogeneous Network Based On Crowdsourcing

With the explosive growth of smart mobile devices and various network services,data traffic has increased exponentially.Existing mobile communication systems have been unable to meet the demand in terms of coverage capability,transmission rate and number of connections.Heterogeneous network,as one of the key technologies to solve the above problems,the core idea of which is to enhance the flexibility of network coverage and improve the utilization of spectrum resources in space and reduce the connection load of the macro base station by deploying low-power small cells in the coverage of macro base stations.However,the deployment of heterogeneous networks is a huge challenge for operators.First of all,the number of small cells deployed is huge,and the capital expenditure and operation expenditure are high.In the background of “increasing speed and reduced fee ”,operators are unable to bear such heavy expenditures.Secondly,the existing network infrastructure is mature.It is difficult to open up the new space for deploying a large number of small cells.What is more,private areas are generally not authorized to deploy small cells.Aiming at the problem of high cost and difficulty in addressing the deployment of heterogeneous networks,this thesis proposes an emerging networking mode of heterogeneous networks based on crowdsourcing,and uses the mathematical tools of game theory to analyze the new networking mode and performance optimization,providing operators a viable technical approach for alleviating the pressure of deployment.Innovations and main contents of the research of this thesis are as follows:(1)A heterogeneous network networking method based on crowdsourcing is proposed.Operators establish a reasonable incentive mechanism to allow service providers of third party with small cells to participate in the construction and operation of small cells in heterogeneous networks.Thereby it helps operators alleviate the pressure of deployment.Taking the two-hop cellular network model as an example,the workflow of the new networking mode is given;(2)For the two-hop network based on crowdsourcing in the single-operator scenario,the feasibility of the networking mode and the effective solution for performance optimization are analyzed.The game model between operators and providers of third party is established by using the Stackelberg game and the non-cooperative game.It theoretically proves that the uniqueness of Stackelberg game equilibrium and the existence and uniqueness of the Nash equilibrium in the non-cooperative game of providers.And the feasibility of the proposed networking method is verified by simulation experiments.(3)In order to further expand the universality of the proposed heterogeneous network networking mode,a research on the two-hop network based on crowdsourcing in the multi-operator scenario is carried out.The non-cooperative game respectively between operators and providers of third party is analyzed,and the complex process of the game between the operators and providers of third party when their internal competition exists.The existence and uniqueness of Nash equilibrium in non-cooperative game under different allocation strategies about forwarding power and different allocation strategies about reward are proved.Aiming at the competition process between operators and providers of third party,an iterative algorithm for computing Nash equilibrium is proposed.The simulation results not only verify the feasibility of the networking mode in the multi-operator environment,but also further analyze the impact of channel conditions and operating costs of providers of third-party on the process of the game,and provide reasonable suggestions for operators to choose partners.