A Research On Key Technologies Of Power Resource Allocation In Cognitive Heterogeneous Wireless Networks

With the rapid growth of mobile communication services,the conventional cellular network structure feels difficult to meet the future needs of throughput and energy efficiency of wireless network,so cognitive heterogeneous wireless networks arises at the historic moment as one of the important complement of cellular networks.This paper studies the problem of power resource allocation in cognitive heterogeneous wireless networks,establishes a mathematical model for power resource multiplexing of wireless terminals,and solves the power resource allocation of distributed network terminals by optimizing the capacity and energy efficiency of cognitive heterogeneous wireless networks.problem.The main research work and innovations are as follows:Firstly,we studied the problem of single-user multi-band power allocation in heterogeneous wireless networks,and an optimization algorithm for the transmission capacity and energy efficiency of the terminal transmit power is presented.In the uplink of a heterogeneous wireless network,considering the coexistence of multiple communication formats,a power resource allocation optimization problem based on multi-radio cooperation is constructed.it is proved that the constructed power allocation model is convex.The Lagrange multiplier method in the theory solves the corresponding optimal power allocation problem.Simulation experiments show that the proposed power allocation scheme is superior to the traditional optimal frequency band selection and equal power allocation scheme.Secondly,we studied the problem of sub-user multi-channel transmission in cognitive wireless networks,and a power allocation algorithm that maximizes the transmission capacity of sub-users under limited transmit power is proposed.Considering the scenario that there are multiple available spectrum holes in the uplink and downlink in a cognitive wireless network,a multi-user multi-channel transmission model based on multi-radio cooperation is constructed.Based on this,the model is abstracted as a secondary user multiple channel multiplex transmission.The problem of power allocation optimization is solved by adopting SUMT so that cognitive users can make full use of the detected spectrum cavities and significantly increase the system capacity and energy efficiency of the cognitive wireless network.Finally,we studied the multi-channel transmission problem of user groups in cognitive heterogeneous wireless networks.A channel-power joint allocation algorithm is proposed when the transmission power of user group is limited.Expanding the optimization target from single user to user group,a multi-user multi-channel transmission model based on multi-radio cooperation in a cognitive heterogeneous wireless network was constructed.For this purpose,a user-channel matching strategy based on the improved KM algorithm is designed to complete the channel matching and is combined with the subsequent optimal power allocation scheme,which effectively improves the overall throughput and energy efficiency of the user group.