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Cognitive Radio Based Key Technology Research in the Dynamic Spectrum Allocation

Author: LiMing
Tutor: JiHong
School: Beijing University of Posts and Telecommunications
Course: Communication and Information System
Keywords: Cognitive networks Dynamic spectrum allocation Auction Theory Discrete stochastic optimization algorithm Channel reservation mechanism
CLC: TN92
Type: Master's thesis
Year: 2010
Downloads: 187
Quote: 0
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Abstract


With the rapid development of wireless communication, the rapidly increasing demand for wireless spectrum. Static spectrum allocation apparent the inefficient spectrum drawbacks, academia and industry have begun to explore new spectrum management methods. Cognitive radio (Cognitive Radio, CR) technology development to promote the development of the cognitive spectrum management thinking. Dynamic spectrum allocation (Dynamic Spectrum Allocation, DSA) technology effective sharing of spectrum resources and dynamic management plays an important role in the cognitive network. The technology breakthrough in the development of wireless communication spectrum resource-constrained bottleneck problem, has important theoretical and practical significance. Paper using a combination of theoretical analysis and numerical simulation method, mainly around the new DSA strategy, resource reservation user QoS, cognitive interference coexistence characteristics of the network and the main network a few aspects of research carried out innovative work as follows: A. a spectrum allocation algorithm based on auction theory this article is the second price auction closed auction mechanism used in the spectrum allocation in the cognitive network. On this basis, a virtual buyer group (Virtual Bidder Group, VBG) spectrum auction mechanism, in order to obtain higher spectral efficiency and the main network revenue. Optimal solution in order to solve the spectrum allocation in the auction mechanism, the paper will also combining greedy algorithm with poor search algorithm to obtain the optimal allocation of spectrum is a heuristic stage optimal algorithm (Phase-Optimal, PO), the algorithm not only can effectively solve the spectrum allocation suboptimal solution also has lower algorithm complexity. B. a dynamic spectrum allocation mechanism based on discrete optimization method in the existing literature on the cognitive network spectrum management, channel conditions as \This article during the channel assignment, channel allocation in traditional cognitive network channel estimation and optimal channel allocation problem into discrete stochastic optimization problem (Discrete Stochastic Optimization, DSO). Also proposed a \Optimal policy of spectrum allocation the ADSA algorithm can effectively track the real-time changes in the wireless environment. C. secondary user performance enhancement mechanisms in traditional cognitive networks, in order to ensure the performance of the primary user of the system, the secondary user's QoS did not get a good protection. Combined the recent spectrum in cognitive network switch, the cooperation of the main networks and cognitive networks technology, the authors propose a channel reservation mechanism. In this mechanism, the system set aside part of the channel from the spectrum pool as secondary users dedicated channel. Channel reservation mechanism to strengthen the secondary users in the cognitive network QoS strictly limit the impact of the primary user within an acceptable range. This part of the mathematical description of the system Markov chain and calculate the optimal number of reserved channels. This paper studies the problem of spectrum allocation in cognitive networks at different levels to strive to be ignored for a long time to improve the spectral efficiency and secondary users QoS issues. Combination of cognitive network spectrum allocation and other advanced communications technologies to improve the performance of spectrum allocation, will be the key areas of further research.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications
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