Research On Key Technologies Of Heterogeneous Wireless Communication Network Based On Economic Theories

Wireless mobile communication technology continues to penetrate and change the work and life of mankind,but people expect higher communication rate and wider coverage range of the mobile communication network.However,with the evolution of the current wireless mobile communication technology,the issues on the network coverage and resource utilization efficiency of wireless mobile communication become increasingly challenging.Based on the traditional cellular network,the construction of heterogeneous wireless mobile communication network has become the trend to make up the shortage of existing mobile network.Femtocell is considered the key technology to improve the indoor coverage of the cellular network and enhance the network throughput.The aerial base station is expected to the promising technology,which is able to cover remote areas and provide emergency communication.The femtocell network and the aerial base station network can cooperate with the existing macro cellular mobile network to form a heterogeneous wireless network,providing high quality wireless communication coverage hopefully at any time and any place.However,due to the complexity of the heterogeneous network structure,the planning and management of network resources has become quit complex.In recent years,the theory of economics has been applied to the field of communication increasingly.A number of theoretical models are suitable for the mechanisms of resource allocation and distributed control.In this dissertation,we focus on the problem of network spectrum,accessing resource management and network coverage in heterogeneous wireless networks,and put forward the corresponding solution methods and mechanisms by introducing economic theories.The main contents of this dissertation are as follows:Aiming at the problem of lacking authorized spectrum of independent femtocell operators,a truthful spectrum double auction mechanism is proposed for multiple femtocell operators and multiple macrocell operators to perform spectrum transactions.In order to make the spectrum transaction between the femtocell operators and the macrocell operators,the dissertation puts forward the determination methods of the spectrum transaction volumes and prices for both operators.The spectrum transaction volumes will ensure that the communication service quality could meet the users' demand,and the transaction prices could ensure that operators are competitive in spectrum trading and are able to make profit from the transaction.For the spectrum transaction,a truthful double auction mechanism is introduced that compels both the spectrum buyers and sellers to disclose the true value of the spectrum honestly.The proposed auction mechanism is proved to be truthful and weakly budget-balanced in this dissertation.And It is also proved that neither a femtocell operator and a macrocell operator is able to submit a combination of the transaction price and volume to ensure its total utility reaching the maximum.In order to avoid the interference problem of the underlay spectrum sharing between the macrocell users and femtocell users,a many-to-one two-sided matching algorithm is proposed to implement the uplink subchannels assignment of femtocell users.By taking the interference relationship between macrocell users and femtocell users as the constraint conditions and the spectrum utilization efficiency as the maximization target,the uplink subchannel assignment problem for femtocell users is modeled as a mixed integer linear programming problem.Utilizing the matching theory,the problem could be modeled as a many-to-one two-sided matching problem between femtocell users and allocable subchannels.Then,a two-stage distributed matching algorithm between femtocell users and subchannels is designed to make their matching be able to quickly reach Nash-stable.The simulation results also show that the proposed algorithm could quickly induce a stable matching solution,and the assignment results also approximate the optimal results.The macrocell operator may offloading its macrocell users to access the third-party femtocell networks by leasing theirs services to countering its traffic congestion.In order to facilitate the transaction a reverse combinational auction for femtocell service leasing is proposed.The macrocell operator wishes to offloading its users with the minimized payment for service leasing and the marocell users' quality of service should be satisfied.To this end,a reverse combinational auction mechanism is introduced to facilitate the operator selecting suitable femtocells.An optimal solving algorithm and a greedy solving algorithm are designed to determine the winners of the reverse combinational auction and the corresponding payments.Through the analysis of the solving algorithms,it is proved that both algorithms could guarantee the reverse combinational auction for the femtocell service leasing to be individual rational and truthful.The final simulation results also verify the effectiveness of two algorithms for the reverse combinational auction mechanism.Aiming at solving the problem of the deployment according to the mission requirements,a distributed optimization method for aerial base stations based on game theoretical learning algorithm is proposed.According to the different optimization tasks of communication service coverage,a power-coverage optimization model and a user-link optimization model are proposed.In order to optimize the deployment of the aerial base stations in a distributed manner,the deployment optimization problem of the aerial base stations is modeled as a potential game.Then a game theoretical learning algorithm is introduced,which makes the aerial base stations self-optimize their layouts in a distributed way according to the requirements of deployment tasks.It is proved that by utilizing the algorithm the deployment of the aerial base stations could converge to a stable distribution,which is the Nash equilibrium solution of the aerial base stations deployment game.Finally,the validity of the proposed models and algorithm is verified by simulations.