Research On Resource Allocation And Interference Management Scheme For D2D Communication In Dense Networks

Nowadays,the high growth in users and the rapid development of the industrial internet have led to an exponential increase in the throughput demand for cellular communications,which has caused a shortage of spectrum resources.D2 D communication technology,one of the potential candidates for 5G,provides a new solution to the current dilemma.The use of D2 D communication technology allows two adjacent devices to exchange information directly without the assistance of a base station,shifting the traditional base-station-centered communication to a D2 D network,which can bring advantages such as system throughput gains,cellular network traffic offload,reduced communicatio n latency,and seamless signal coverage.It would significantly improve the system throughput and spectrum efficiency by introducing D2 D communication technology into cellular networks and constructing cellular-assisted D2 D communication heterogeneous networks through resource sharing between D2 D users and cellular users,but the interference accumulation problem would arise in dense scenarios.Therefore,how to design a reasonable and effective resource management scheme is the focus of our studies.With t he objective of maximizing system throughput,we focus our research on three aspects of resource sharing methods,resource allocation strategies and power control methods,and propose different solutions for different application scenarios.We propose a scalable resource sharing framework to address the problem of limited available spectrum resources in dense scenarios.At the first,in the Perfect Channel State Information state,the users within the cellular cell are modeled as multiple resource sharing sets that satisfy the constraint requirements through algorithmic filtering,and the users within the sets adopt a many-to-many spectrum resource sharing strategy to improve the system throughput and user access rate from the perspective of improving spectrum resource utilization.Second,to solve the interference accumulation problem caused by spectrum resource reuse,it proposes a SCA-based centralized power optimization algorithm to reduce the interference between primary and secondary users through power optimization and enhance the system stability.A low-complexity resource sharing algorithm and a distributed power optimization algorithm are proposed for the problem of ICSI in ultra-dense scenarios.First,the location state information of users is introduced,and it is used to perform sub-cell splitting by exploiting the spatial dispersion property of users.During the set partitioning process,the users in the adjacent sub-cells are removed so that they do not participate in the next computation,which achieves the purpose of relieving the signaling overhead and reducing the computational load.Second,a distributed scheme is adopted to design a quadratic conversion-based power optimization algorithm to deal with the multi-ratio fractional planning prob lem,decoupling the power allocation problem into a power subproblem in which can be solved separately through the D2 D link,thus transferring part of the computational problem of the base station to the users and achieving efficient and distributed optimization.Experiments demonstrate that adopting our proposed resource sharing framework and resource management scheme in a dense D2 D deployment system could effectively enhance the system throughput and D2 D user access rate.