認(rèn)知中繼網(wǎng)絡(luò)頻譜感知與資源分配研究
[Abstract]:With the development of wireless communication technology, people's demand for spectrum resources is increasing. The traditional fixed spectrum allocation strategy can avoid the interference between the systems, but the occupation of the spectrum resources is incomplete, and the waste of spectrum resources can be easily caused. the cognitive radio technology can realize the sharing and utilization of radio spectrum resources, and solves the contradiction between the lack of spectrum resources and the insufficient utilization of spectrum resources. On the other hand, cooperative relay technology utilizes diversity gain to effectively improve the capacity of wireless network system, transmission reliability and increase coverage rate. The cognitive wireless network is a network with cognitive ability developed on the basis of cognitive radio technology. By introducing cooperative relay technology, the cognitive wireless network can obtain better system performance and higher frequency spectrum utilization rate, therefore, A cooperative relay-oriented cognitive radio network _ cognitive relay network has become a hot spot in the field of wireless communication. Because the spectrum resource is shared with the authorized network system, the cognitive relay network firstly needs to carry out spectrum sensing to discover available spectrum resources, and then adaptively adjusts the self parameters according to the result of spectrum perception, and determines the best resource allocation scheme to carry out frequency spectrum access. This paper researches on cooperative spectrum sensing and joint resource allocation problem in cognitive relay network system, and takes cooperative relay as the main technical means, mainly solves the two basic problems in the cognitive relay network system: 1) the accurate and reliable spectrum sensing algorithm is researched, Providing as many reliable spectrum access opportunities as possible for the cognitive relay network system; 2) researching the efficient joint resource allocation algorithm so that the cognitive users can reasonably utilize the limited resources, thus improving the utilization efficiency of the access spectrum and increasing the capacity of the cognitive relay network system. Firstly, in order to overcome the adverse effect of channel fading on spectrum sensing performance, two kinds of external control channel cooperative spectrum sensing algorithm based on virtual MIMO technology are proposed, and the proposed algorithm improves the accuracy and reliability of cooperative spectrum sensing. it is possible to provide more reliable spectrum access opportunities for the cognitive relay network. 1) a cooperative spectrum sensing algorithm based on efficient empty time coding is proposed, and 2) considering the difference between the dynamic change of the cooperative cognitive user and the perceived reliability of the cognitive user, a weighted cooperative spectrum sensing algorithm based on random air time coding is proposed, The algorithm adopts random space coding to overcome the influence of channel fading on perceived performance, enhances the decision weight of high reliability sensing signal by utilizing perceptual reliability weighted fusion criterion, and can adapt to the dynamic change of the number of cognitive users while improving the performance of cooperative spectrum sensing. secondly, in order to overcome the additional requirement of the external control channel cooperative spectrum perception to channel resources, a cooperative spectrum sensing algorithm based on a selective relay is proposed, which can effectively save the channel resources while ensuring the cooperative spectrum sensing performance, improve that utilization of authorized spectrum and reduce the complexity of channel management. The algorithm adopts a signal transmission mechanism based on the selective relay to avoid the interference that may be caused by the authorized user during the reporting process of the initial perception result, and utilizes the perceptual reliability weighted fusion criterion to distinguish the perceived reliability of different cognitive users and improve the performance of cooperative spectrum sensing. At the same time, the optimal energy-sensing threshold selection mechanism is given to ensure the maximum utilization of authorized spectrum resources while the user is authorized to communicate with QoS. The proposed algorithm studies the effect of perceived overhead on the perceived performance of cooperative spectrum by considering both the perception and the reporting period. The analysis shows that there is a unique perception overhead for the detection probability of the preset target, so that the probability of the spectrum-aware virtual police is the least. Then, on the basis of cooperative spectrum perception, in order to make full use of spectrum access opportunity, in order to influence the performance of network system with multi-constraint environment, the problem of joint resource allocation in AF-OFDM cognitive multi-relay network is studied, and three joint sub-carriers matching are proposed. In order to improve the utilization efficiency of spectrum resources and improve the capacity of cognitive relay network system, a distributed resource allocation algorithm based on dual theory is proposed to obtain approximate optimal solution of joint resource allocation problem. 2) a fast joint resource allocation algorithm is proposed, which has low computational complexity and is suitable for application scenarios with limited hardware conditions and high performance requirements; and 3) in order to balance the conflict between performance and complexity of the algorithm, A two-stage efficient joint resource allocation algorithm is proposed, which solves the defect of dual algorithm and fast algorithm, and the algorithm performance is close to the approximate optimal solution while obtaining stable and low computational complexity. Finally, considering the difference of relay protocol, the problem of joint resource allocation in DF-OFDM cognitive multi-relay network is studied, and two joint resource allocation algorithms are proposed to suit the complex application environment. increasing the capacity of the network system. 1) taking into account that the computational complexity of the algorithm can adversely affect the implementation of the system in the application, and aiming at obtaining lower computational complexity, a fast joint resource allocation algorithm is proposed, the fast algorithm can greatly reduce the computational complexity of the algorithm without causing severe attenuation to the system performance, and 2) because the fast algorithm aims at the minimum computational complexity, In order to overcome these problems, an efficient joint resource allocation algorithm is proposed in order to overcome these problems. The efficient algorithm overcomes the adverse effects of the transmission power allocation mechanism and the sub-carrier allocation sequence in the fast algorithm, and obtains a reasonable balance between the computational complexity and the performance.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN925
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