Research On M2M Channel And Power Resource Allocation Algorithms In 5G System

M2M communication is an emerging technology that can connect smart wireless devices and is one of the three major applications of 5G system.In this thesis,based on the M2 M transmission service of 5G system,the wireless channel allocation and power control algorithms under different M2 M system models are studied.The main work has two aspects: channel and power resource allocation problems in direct-connected M2 M communication,and channel and power resource allocation issues in clustered M2 M communication.?.Research on channel and power resource allocation in direct-connected M2 M communication: Under the assumption of ensuring various QoS requirements of system users in the uplink M2 M communication scenario without gateway devices,the optimal allocation strategy of channel and power resources among all users of the system is studied for single-cell and multi-cell networks.There are two specific tasks:(1)For the single-cell direct-connected M2 M communication system,the overall energy efficiency of the system is maximized by jointly optimizing the wireless spectrum resources and power control while ensuring the QoS requirements of the MTCDs.The contributions are as follows: 1)The corresponding mathematical optimization problem is established,and the queuing theory model is used to simplify the optimization problem.In order to solve the non-convex optimization problem after simplification,the equivalent transformation into two sub-problems;2)Under the condition of fixed transmit power,the closed expression of the global optimal solution to the channel assignment subproblem is derived;3)Based on this,an iterative algorithm with fast convergence speed is proposed.Based on this algorithm,the allocation scheme of channel and power resources of MTCDs is obtained.The simulation results show that compared with other existing algorithms,the proposed channel and power resource allocation schemes converge faster and QoS performance is improved.(2)For the uplink communication system where multi-cell direct-connected M2 M and H2 H coexist,under the premise of ensuring the successful transmission probability requirements of M2 M users and cell users,based on maximizing the total energy efficiency of M2 M users in the system,the power control of M2 M communication equipment is studied.The contributions are as follows: 1)The corresponding mathematical optimization problem is established,and the closed expression of the successful transmission probability of the system user is derived.In order to solve the non-convex optimization problem,the properties of the objective function are studied.2)Deriving the point at which the objective function takes the maximum value within the feasible domain;3)Based on this,a derivative-based iterative algorithm is proposed,and the approximate optimal solution of power control in multi-cell M2 M system transmission service is obtained.The simulation results show that compared with the traditional branch and bound algorithm,the computational complexity of the algorithm is reduced,and the energy efficiency performance is greatly improved.?.Research on clustering and channel and power resource allocation in clustered M2 M transmission services: Combining the clustering ideas in traditional wireless sensor networks,the problem of channel and power resource allocation in the process of uplink communication of system users is studied under the fixed scene of cluster structure and cluster structure of M2 M system.There are two specific tasks:(1)Aiming at the undetermined uplink communication system in M2 M communication,the clustering algorithm and power control scheme in M2 M transmission service are studied based on the minimum transmission power in the system under the premise of guaranteeing the QoS requirements of the system users.The contributions are as follows: 1)The corresponding mathematical optimization problem is established,and the constraint expression that guarantees the QoS requirements of the system is derived,and the non-convex optimization problem is transformed into two sub-problems;2)On the basis of the fixed cluster structure,a closed expression of the user's optimal transmit power is obtained;3)On this basis,a distance function related to channel state information is defined.Based on this,a clustering algorithm is proposed to obtain a cluster structure in M2 M communication system.The simulation results show that compared with the traditional clustering algorithm,the algorithm reduces the total energy loss of the M2 M equipment in the system and improves the service life of the equipment.(2)For the system with cluster structure determined in clustered M2 M communication,under the premise of guaranteeing the service quality of the cell user,based on maximizing the total throughput that the MTCDs can achieve in the whole system,the spectrum resource allocation and power control in the M2 M transmission service are studied.The contributions are as follows: 1)The corresponding mathematical optimization problem is established;2)Deriving the channel resource allocation and the transmit power optimal solution closure expression of the cell user by fixing the relevant variables of the MTCDs;3)On this basis,an iterative algorithm with lower computational complexity is proposed,and the optimal solution for spectrum and power resource allocation is obtained.The simulation results show that compared with the existing algorithms,the scheme has a faster convergence rate,which can effectively improve the total throughput that the MTCDs can achieve in the system,and the performance is better.