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On application-aware design of multi-hop cognitive radio networks - channel allocation and routing
Cognitive radio (CR) technology shows great promise for future wireless communications. In this dissertation, the challenges in multi-hop cognitive radio networks compared to traditional wireless communications are described at first. A proposed layered model that has three mega layers (physical layer, network layer and application layer) is applied in application-aware multi-hop cognitive radio networks. This dissertation focuses on the network layer. Then, three routing and channel allocation schemes are investigated for a multi-hop cognitive radio network. Network coding opportunities, allocate channels and rates of links in different channel availability scenarios can be used to maximize the aggregated network throughput. How to implement a backpressure algorithm is shown to maintain the queue stability. A distributed channel allocation and route selection algorithm is also proposed to reduce the computing complexity. The concept of hyper-link is used to analyze the multi-cast routing problem. The simulation results show that the proposed schemes have better performance compared to the schemes without network coding, backpressure scheduling or cognitive radios. The challenge to improve the energy efficiency of the radio nodes are further addressed in multi-hop cognitive radio networks. A two level Stackelberg game model is proposed for energy efficient communications in multi-hop cognitive radio networks. The proposed scheme not only considers the power allocation problem for secondary users, but also takes into account the best price of spectrum for the primary users to maximize their own profits. The existence and uniqueness of the Nash Equilibrium point for the game is shown, and simulations are implemented to show the performance of the proposed schemes. A cross-layer study for application-aware multi-hop cognitive radio networks is also given. Spectrum resources are allocated to guarantee quality of service requirements for different types of applications. The proposed schemes determine how to allocate channels and choose different routes for different applications in different channel availability scenarios. The proposed schemes are shown to have better performance in packet loss rate for real-time applications and throughput for non-real-time applications in different situations of channel availability and number of channels. Finally, this dissertation is summarized and some possible topics are given for future work.
Computer Engineering|Engineering|Electrical engineering
Shu, Zhihui, "On application-aware design of multi-hop cognitive radio networks - channel allocation and routing" (2014). ETD collection for University of Nebraska - Lincoln. AAI3642854.