Research On Energy-spectral Efficiency In Wireless Cognitive Collaborative Relay Networks

With the rapid development of wireless communication technology,the edge users of wireless communication network cells are affected by their environment such as building blockage,improving the quality of communication services for edge users by using collaborative relay technology,but with this comes the double test of spectrum resource shortage and high energy consumption.The introduction of sensor devices without active power supply as collaborative relays in conventional wireless communication networks,as well as the adoption of Cognitive Radio(CR)technology and spectrum trading ideas,can effectively alleviate the shortage of spectrum resources;for the edge user communication quality problem,a multi-frequency retransmission mode transmission strategy is considered,based on which a joint Maximal Ratio Combining Decoding(MRC)is adopted at the receiving end to process the multi-frequency retransmission wireless communication signals.Based on the above problems,this article explores the single-signal and multi-user traversal link model and the multi-user traversal link model based on Simultaneous Wireless Information and Power Transfer(SWIPT)and Non-Orthogonal Multiple Access(NOMA)technologies respectively.This article investigates the resource allocation schemes for the single-signal multi-user traversal link model and the multi-signal multi-user system model,respectively,to achieve efficient system transmission while ensuring the quality of communication services for cell edge users.The main work of this article is as follows:(1)Improving edge user communication quality in wireless cognitive collaborative relay networks is investigated for the primary signal traversal link communication transmission model.A transmission strategy combining Collaborative Relay Communication Technology(CRCT)and SWIPT technology is proposed,and a joint MRC is used at the edge of cognitive users.An optimization problem to maximize the Energy Efficiency(EE)of the edge cognitive user link is established,The solution idea is to convert the fractional equation into a decreasing equation that is easy to solve.Considering the coupling between the parameters of the optimization problem,the problem is divided into two sub-problems for power control and SWIPT hybrid protocol parameter optimization.To maximize the traversal link energy efficiency,the base station transmit power is first optimized using the Dinkelbach iterative algorithm,and the power allocation factor and time partitioning factor are jointly optimized using a genetic algorithm;then a joint decoding communication model based on the SWIPT hybrid protocol is proposed.Finally,the proposed SWIPT hybrid protocol and the joint decoding approach are compared by experimental analysis,with higher energy efficiency and smaller transmit power.(2)The problem of spectrum resource allocation for the whole system in wireless cognitive collaborative relay networks is studied for the multi-signal complex link communication transmission model.Considering the spectrum management and energy-saving strategies arising from multi-user links and multi-signal transmission links in wireless communication network systems,an intelligent and efficient spectrum resource utilization scheme based on NOMA in conjunction with SWIPT technology is proposed.The scheme effectively links base stations,sensing relays,and cognitive users within this network through NOMA and collaborative relaying technology,reusing more user devices based on(1),and the communication network system is more practical.Unlike(1),the optimization problem of maximizing the spectral efficiency of the wireless communication network system is transformed from a non-convex optimization problem to a convex optimization problem by using the difference-of-convex-functions programming,since the fractional transformation is still a non-convex optimization problem after fractional programming.To avoid the nonconvexity and NP-hard properties of the system energy-spectrum efficiency optimization problem,the problem is converted into three easily solvable sub-problems: power control,energy-spectrum efficiency optimization,and system parametric configuration.The specific steps are as follows: firstly,the dichotomous method is used to obtain the maximum spectral efficiency of the system;then the sequential convex approximation is used to solve for the optimal transmit power corresponding to the maximum spectral efficiency of the system;finally,the simulated annealing algorithm is used to find the optimal configuration of the system parameters;the three iterations are alternated until the results converge.The experimental simulation analysis shows that the proposed scheme in the wireless cognitive collaborative relay network has a fast convergence,and the SWIPT hybrid protocol,NOMA technique,and joint maximum ratio decoding can all bring about an improvement in the spectral efficiency of the system.