Research Of Cognitive Radio Power Distribution Based On Robust

With the rapid development of wireless communication technology and the widespread application of mobile devices,the demand for wireless services has also gradually increased,forcing the frequency spectrum of non-renewable spectrum resources to become increasingly scarce and increasingly crowded.As a new communication method to solve the problem of wireless spectrum scarcity,cognitive radio(CR)can effectively use dynamic spectrum allocation technology to allocate wireless spectrum resources efficiently,and can greatly improve the utilization of wireless spectrum.To alleviate the increasingly serious resource constraints facing the current communications applications.The use of cognitive radio technology to allocate resources is an urgent need to address the issue of power control in cognitive radio networks.Based on this kind of situation,this dissertation mainly analyzes the robustness of the power control of cognitive radio networks in depth,and presents a robust power control solution.In order to realize the seamless communication of the disturbed channel,a robust power allocation algorithm for cognitive radio based on the channel gain uncertainty is proposed,and the research is analyzed from the perspective of minimizing power consumption and maximizing capacity.The proposed scheme not only guarantees the quality of service(QoS)requirements,but also improves the stability of the cognitive system and has strong applicability to the disturbed channel.In order to solve the low applicability of the traditional robust algorithm,a cognitive radio-based robust power allocation algorithm based on the protection factor is proposed.Aiming at the uncertainty caused by the system access secondary user(SU),a protection factor is added in advance to guarantee the QoS of the primary user(PU)and a robust power allocation algorithm is proposed.The proposed algorithm has higher data capacity than the Worst-case robust algorithm.At the same time,it reduces the complexity of the convex optimization process algorithm and realizes the efficient use of spectrum resources.Based on the fairness problem caused by different user locations,a fair power-based cognitive radio robust power allocation algorithm is proposed.Under the premise of guaranteeing the same QoS,weighting factors are adjusted according to the distance of the location to realize fair communication of cognitive users.The simulation results show that this algorithm has the advantage of low power consumption and high efficiency compared with the Worst-case robust algorithm.At the same time,it can prevent some edge users from continuously increasing the transmission power and effectively improve the applicability of the algorithm and the spectrum utilization efficiency.Finally,the content of the article is summarized,and the advantages and importance of robustness in power control are described.At the same time,the robust power control is prospected.