Research On Resource Management Of 5G Heterogeneous Multiple Access Network

With the development of the mobile Internet and the increasing popularity of smart terminals,mobile data traffic will grow at an unprecedented rate and cause a huge challenge for mobile network operators.In order to meet the high-quality,high-speed requirements of user equipments,5G heterogeneous multiple access network is an important solution to this challenge.In heterogeneous multiple access network environment,the traditional mobile data offloading strategy cannot be applied in the future development of the network.How to solve the problem of mobile data offloading in heterogeneous multiple access network environment has become a huge challenge for future network development.After introducing the existing mobile data offloading technologies,the main contributions of this thesis are:(1)An economic incentive strategy based on stackelberg game for mobile data offloading in heterogeneous multiple access networks is proposed.This strategy applies stackelberg game to the economic incentives of mobile data offloading,amd adopts non-cooperative game to model the interaction between different micro-cell operators in heterogeneous networks.Through stackelberg game,the mobile network operator decides the optimal economic incentive,and the micro-cell operators determine the optimal amount of resource leases.The simulation results show that the strategy effectively encourages operators to participate in mobile data offloading,and effectively improves network capacity.(2)A mobile data offloading strategy for heterogeneous multiple access networks based on third-party cognitive small cells is proposed.By adopting the concept of cognitive radio,we propose to use third-party cognitive small cells with no licensed spectrum band to offload data traffic from macrocells with licensed spectrum band and at the same time gain transmission opportunities for cognitive small cells.Through multi-dimensional joint resource allocation,we propose iterative optimization based data offloading schemes to determine optimal transmission powers,association schemes of user equipments,and optimal network resource allocation.(3)A mobile data offloading strategy for heterogeneous multiple access networks with dual-connnectivity is proposed.Traffic offloading for macrocell users with dual-connectivity through a third-party cognitive small cell is investigated.Through multi-dimensional joint resource allocation,we propose iterative optimization based data offloading schemes to determine optimal transmission powers,association schemes of user equipments and optimal network resource allocation.(4)A resource management platform for heterogeneousmultiple access networks is designed and implemented.The developed heterogeneous multiple access network platform supports real-time monitoring of resources in heterogeneous multiple access networks,monitoring of real-time associated terminal information of heterogeneous multiple access networks,and executing of resource management strategies.Finally,conclusions and future works are given.