Research On Resource Multiplex And Allocation Algorithm Of D2D Communication Underlaying Cellular Network

With the arrival of the era of "Internet of everything",there are more and more varieties and quantities of intelligent devices.In the future,the mobile communication system will improve the number of connections,quality,speed and intelligence.Device-to-Device(D2D)communication technology,which is used in authorized frequency band,aims to realize direct link between adjacent communication devices to unload the base station service route,to reduce the load pressure of the system center node,and to improve the spectrum utilization.Based on the above advantages,scholars pay more and more attention to D2 D communication technology,but there are still some problems in resource reuse and allocation that need to be further studied,mainly including the following two points.Firstly,in the existing research on D2 D communication resource allocation,there are few multiplexing scenarios for multi-to-one multiplexing,and the research results are usually based on the calculated allocation results which mainly determine whether access and make matching rules,so quality of service(Qo S)of cellular users can not be guaranteed in these scenarios.Therefore,how to control the transmission power of multi-to-one multiplexing D2 D communication system under the premise of guaranteeing cellular users' Qo S and D2 D users' access rate,and how to improve the system throughput better is an important issue.Secondly,in the future,due to the wide varieties of data,how to prioritize and classify the users according to different users' Qo S requirements,and how to dock with the existing communication system better is also a practical problem which we need to face.Aiming at the problem that the existing resource allocation of multi-to-one multiplexing D2 D communication does not start from the guarantee of cellular users' Qo S and D2 D users' access rate,this paper proposes a multi-to-one multiplexing D2 D power allocation algorithm based on pure strategy game equilibrium solution.Firstly,based on the premise of guaranteeing the Qo S of cellular users and the access rate of D2 D users,this paper formulates the frame structure of multi-to-one multiplexing D2 D communication system of the full load cellular network,makes the uplink data transmission strategy between cellular users and D2 D users,draws the primary and secondary relationship between cellular users and D2 D users.Secondly,aiming at the maximization of the system throughput,the competition of channel resources of the multi-to-one multiplexing D2 D communication system is modeled as a non-cooperative complete information game problem.The pricing mechanism is introduced into the utility function of the power distribution game model,the existence and uniqueness of the Nash equilibrium solution are analyzed in this paper.Thirdly,based on the above settings and calculations,the distributed iterative algorithm of the model is given.The simulation results show that with the increase in the number of D2 D users,the algorithm can effectively control the internal interference of the system and reduce the energy consumption of whole system while improving the system throughput.In order to solve the problem of users' Qo S requirements and the classification of data flow in the existing resource allocation of multi-to-one multiplexing D2 D communication,this paper proposes a multi-to-one multiplexing D2 D resource allocation algorithm based on Joint Cost Function(JCF).Firstly,users are classified according to their Qo S requirements and service types.The mapping table of the classification of D2 D users' data flow,Qo S priority and DSCP(Differentiated Services Code Point)are given.After that setting up,a D2 D user link selection mechanism based on Qo S priority is proposed.The system can match users according to the demand information of Qo S carried in the D2 D users' message,ensure the link quality of cellular users,and complete the docking between D2 D users and the current network.Then,a non-cooperative complete information model is established and a multi-to-one multiplexing D2 D communication resource allocation algorithm based on JCF is proposed.The simulation results show that the algorithm proposed in this paper can get good result in improving system throughput,controlling system energy consumption,and ensuring Qo S of users.Finally,this paper summarizes and analyzes the completed work and points out the next research plan.