Research On Joint Power Control And Channel Allocation Algorithm In D2D

Device-to-device(D2D)communication is a direct communication technology between users without forwarding data through a base station.The introduction of D2 D communication in traditional cellular networks can not only improve the spectrum utilization and throughput of the system,but also reduce the load on the base station.However,when D2 D users share cellular user channel resources in a multiplexed manner,co-frequency interference occurs with the cellular users.If the interference is not effectively coordinated,it will seriously affect the user communication quality and reduce the overall system performance.Only by designing reasonable and effective power control and channel allocation schemes to coordinate interference and improve system performance can the advantages of D2 D communication technology be brought into play.However,in practice,there is no one set of schemes applicable to all scenarios.Therefore,different schemes should be designed according to the differences in network models of different resource reuse scenarios.This paper focuses on the two issues of power control and channel allocation in the oneto-one,many-to-one resource reuse scenarios.Under the premise of ensuring user communication quality,two joint power control and channel allocation optimization schemes are proposed to coordinate intra-frequency interference and optimizing system throughput.The main tasks are as follows:(1)In the one-to-one channel resource reuse scenario where D2 D users are less than cellular users,the mixed integer non-linear programming problem formed by joint optimization is decomposed into two sub-problems: channel allocation and power control.First,with the goal of coordinating interference,we allocate channel resources for each D2 D user based on the Hungarian algorithm and solve the channel allocation sub-problem.Then we use the wind-driven algorithm to control the transmit power of the cellular users and D2 D users to maximize the system throughput and solve the power control sub-problem.Compared with the simulation results of traditional particle swarm algorithm,it is shown that the proposed scheme effectively improves the system throughput.(2)In the many-to-one channel resource reuse scenario where D2 D users are more than cellular users,the link throughput is optimized first,and the wind-driven algorithm is used to derive that D2 D users can reuse any channel resource to maximize the channel throughput.The optimal D2 D transmit power set is based on the given optimal power allocation scheme,and then an improved reverse iterative auction algorithm is applied to obtain the D2 D user channel allocation scheme in the form of auctions to optimize the system performance under controllable interference conditions.Simulation results show that compared with the traditional reverse iterative auction algorithm,the proposed scheme improves the system throughput significantly.