End-to-end protocols for Cognitive Radio Ad Hoc Networks: An evaluation study
Performance Evaluation
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
An adaptive and QoS-based spectrum awareness framework for CR networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Managing sensing and cooperation to analyze PUE attacks in cognitive radio ad hoc networks
Proceedings of the 8th International Conference on Network and Service Management
Optimal Channel Sensing Order for Various Applications in Cognitive Radio Networks
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
A Fittingness Factor-Based Spectrum Management Framework for Cognitive Radio Networks
Wireless Personal Communications: An International Journal
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Cognitive radio networks have been proposed as a solution to both spectrum inefficiency and spectrum scarcity problems. However, they face to a unique challenge based on the fluctuating nature of heterogeneous spectrum bands as well as the diverse service requirements of various applications. In this paper, a spectrum decision framework is proposed to determine a set of spectrum bands by considering the application requirements as well as the dynamic nature of spectrum bands. To this end, first, each spectrum is characterized by jointly considering primary user activity and spectrum sensing operations. Based on this, a minimum variance-based spectrum decision is proposed for real-time applications, which minimizes the capacity variance of the decided spectrum bands subject to the capacity constraints. For best-effort applications, a maximum capacity-based spectrum decision is proposed where spectrum bands are decided to maximize the total network capacity. Moreover, a dynamic resource management scheme is developed to coordinate the spectrum decision adaptively dependent on the time-varying cognitive radio network capacity. Simulation results show that the proposed methods provide efficient bandwidth utilization while satisfying service requirements.