Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Computer Networks and ISDN Systems
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Altruistic cooperation for energy-efficient multi-channel MAC protocols
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Cognitive Networks: Towards Self-Aware Networks
Cognitive Networks: Towards Self-Aware Networks
SELECT: Self-Learning Collision Avoidance for Wireless Networks
IEEE Transactions on Mobile Computing
Analyzing DISH for multi-channel MAC protocols in wireless networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Cooperative Asynchronous Multichannel MAC: Design, Analysis, and Implementation
IEEE Transactions on Mobile Computing
Sift: a MAC protocol for event-driven wireless sensor networks
EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs
IEEE Communications Magazine
A self-learning call admission control scheme for CDMA cellular networks
IEEE Transactions on Neural Networks
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Cognitive radio technology increases spectrum utilization by enabling secondary users to opportunistically use the spectrum when primary users are inactive. Secondary users use spectrum sensing to detect the presence of primary users in order to avoid causing harmful interference. To the best of our knowledge, all existing spectrum sensing methods are essentially physical spectrum sensing, in the sense that nodes physically tune their radio to each frequency band to sense the spectrum. In this paper, we propose a complementary approach, virtual spectrum sensing, which achieves the same goal but only senses a very small portion of the spectrum. This approach enables a Distributed Information SHaring (DISH) mechanism, where neighboring users cooperatively share spectrum usage information (obtained from virtual spectrum sensing) with users who need it in decision making. This paper presents an application of DISH to cognitive radio networks. We provide a Cognitive DISH framework which describes guidelines for cognitive radio protocol design based on virtual spectrum sensing and DISH. Under this framework, we design a protocol, VISH-I, and evaluate its performance via simulations. As the number of secondary users increases, the interference caused to primary users results in only 5% performance degradation, but the overall channel utilization is increased by 87-203%. In addition, to demonstrate that virtual sensing is complementary to physical sensing, we design a hybrid spectrum sensing protocol, VISH-II, which improves performance by 7-50% over VISH-I.