Optimal Configuration Of Wireless Relay Network Resources Based On Relay Selection And Channel Allocation

The rapid development of wireless communication technology and various intelligent devices has had a huge impact on traditional wireless communication networks.How to ensure the communication quality of users in a complex communication environment and improve the service quality to users is an urgent problem to be solved.Relays can not only expand the coverage of the communication system,but also perform secondary deployment of communication resources.In order to establish a channel consistent with the actual communication environment,it is necessary to consider the impact of channel uncertainty in the communication system model.Because the user's location and environment are different,how to choose the appropriate relay and subchannel to assist the user to transmit information is also the key to improving the communication quality of the system.In this paper,for different communication scenarios assisted by relays,the system performance is optimized through reasonable allocation of power,relays,and subcarriers.Firstly,focus on the problem of channel uncertainty and poor communication quality of mobile edge users in a dynamically changing environment.A robust power control algorithm for joint mobile relay selection,subcarrier allocation and power allocation is proposed.Assuming that the channel estimation error obeys an exponential distribution,a robust energy efficiency problem with outage probability constraints is established.Mobile relay assisted communication improves the flexibility of the communication system compared to fixed relay.The simulation verifies that the algorithm can obtain the maximum energy efficiency of the system under dynamic communication environment by continuously adjusting the power.Secondly,in order to solve the problem of low utilization of spectrum resources,a relay-assisted cognitive wireless network with joint relay selection and subcarrier pairing was established to improve spectrum utilization by sharing the spectrum between primary and secondary users.The goal maximization and Hungarian algorithm are used to solve the problem of relay selection and subcarrier optimal allocation.And the Lagrange multiplier method is used to obtain the optimal power expression.The simulation results prove that the energy efficiency maximization algorithm based on relay selection and subcarrier pairing in the cognitive radio network has good robustness,system scalability and low algorithm complexity.Finally,in view of the problem of high-speed communication of multiple sectors and multiple users in a 5G scenario,an algorithm for joint power control,subcarrier allocation,and user pairing in a NOMA network is proposed.The user pairing strategy is introduced to balance the system communication rate and the decoding complexity of the receiver system.A combination of non-orthogonal multiple access(NOMA)and serial interference cancellation(SIC)technologies is used to increase the system communication rate.Simulation results show that the proposed NOMA wireless network resource allocation strategy has good scalability and low system complexity,and has a higher communication rate than other algorithms.