Research On Uplink Resource Allocation Algorithm For M2M In Relay Networks

With the rapid growth of intelligent terminal multimedia services and data transmission needs of uses,Internet of Things has already become another important development direction of the future communication business.M2 M,as the most widely used form of Internet of Things,has been widely concerned and studied in academia and applications.The characteristics of M2 M communication end users mainly include frequent access,uplink dominant,small amounts of data transmission.Therefore,it is of great significance to study the uplink resource allocation problem of M2 M in relay network.In this paper,the uplink resource allocation problem is considered as the main research object,and the throughput and energy consumption of the uplink end-user are studied.The main innovations of this paper include:Firstly,the uplink resource allocation problem of M2 M in the relay network is studied.It is recognized that the uplink resource allocation problem is essentially a power problem and throughput problem.Combining the knowledge of game theory,this paper proposes a cooperative game theory of the distribution optimization algorithm.The model of the macro base station and the home base station relay network is established,by applying cooperative game theory,the uplink resource allocation optimization problem is transformed into the max-min of utility,and the Shapley function is used to solve the algorithm.The simulation results show that compared with the traditional water injection algorithm and the equal power algorithm,the proposed algorithm improves the performance of the system by taking into account the fairness of the end user and greatly reducing the total transmit power of the system.Secondly,the M2 M energy conservation in the uplink of the relay network is studied.According to the communication characteristics of M2 M,the limitation of spectrum resources,and the importance of low power consumption to prolong the service life of the terminal equipment,M2 M is proposed in LTE-A following the network's energy-saving algorithm.Different from the traditional only consider non-backhaul uplink,this paper also takes into account the energy consumption of the backhaul link.From the point of view of time division duplex(TDD),we combine the spatial multiplexing and modulation coding strategies,define the weight function,and choose the corresponding relay to form the parallel transmission group to optimize the energy consumption problem.To ensure quality of service(Qo S),while minimizing the total energy consumption of the end user.Finally,this paper summarizes the work and prospects,pointing out the problems in this paper and the direction of next research.