A Research On Resource Allocation And Power Control For D2D Communication In Social Networks

As one of the key technologies of information network architecture,D2 D network can improve the spectrum efficiency and reduce the load of the base station in the cellular network.In addition,the combination of D2 D network and social network can realize the fusion of physical transmission and social attribute and further improve the performance of D2 D communication.Furthermore,resource allocation is a critical technique for the performance improvement.To this end,taking the game theory and social network as the background,this thesis mainly studies the resource allocation and power allocation in cooperative transmission.The specific contents of the study are as follows:1.In view of the problem that scarce wireless spectrum resources can not meet the increasing demand for data traffic and spectrum,and humanity plays a key role in the communication quality of Device-to-Device(D2D)on the licensed radio spectrum.On these basis,in this thesis,a double auction scheme of resource allocation with social ties and sentiment classification for D2 D communication,which combines the social and physical domains is proposed.Specifically,social ties between users are determined by interaction data and the Kullback-Leibler divergence language model based on sentiment classification.Additionally,the general assignment game algorithm reaches competitive equilibrium by auction,in which D2 D pairs and spectrum resources act as sellers and bidders in each auction round.Finally,simulation results not only illustrate that the proposed double auction scheme can achieve an optimal solution with lower complexity,but also demonstrate the effect of social ties on D2 D communication.2.Aiming at the irrationality of power allocation caused by the different levels of cooperation willingness,this thesis studies a social relationship and pricing-based power allocation scheme and puts forward a two-stage Stackelberg game model firstly.Particularly,since the requesters and cooperation user pursue the rate enhancement and reward maximization respectively,the utility of them are quantified according to the power cost and constraint.Considering the contradiction between these two parties,a two-stage Stackelberg game is introduced,in which the final price and power allocation scheme are determined via dynamic bidding process while approaching the optimal utility of requester and cooperation user.Simulation results show that the studied power allocation scheme can effectively stimulate the user to forward data and improve the system performance.