Cognitive Radio Networks: Architectures, Protocols, and by Yan Zhang, Jun Zheng, Hsiao-Hwa Chen

By Yan Zhang, Jun Zheng, Hsiao-Hwa Chen

Whereas nonetheless within the early levels of analysis and improvement, cognitive radio is a hugely promising communications paradigm having the ability to successfully tackle the spectrum insufficiency challenge. Written by means of these pioneering the sphere, Cognitive Radio Networks: Architectures, Protocols, and criteria deals a whole view of cognitive radio—including introductory strategies, primary innovations, rules, criteria, process implementations, and up to date advancements. From the actual layer to protocol layer, world-class editors offer finished technical and regulatory counsel throughout cognitive radio, dynamic spectrum entry, and cognitive instant networks. The publication examines routing, Medium entry keep an eye on (MAC), cooperation schemes, source administration, mobility, and video game idea procedure. geared up into 3 sections for ease of reference: Introduces and addresses the problems within the actual layer, together with sensing, skill, and gear keep watch over Examines concerns within the protocol layers and offers useful options Explores functions, together with cognitive radio structures entire with illustrative figures that permit for whole cross-referencing, this authoritative reference presents readers with the certainty of the basic suggestions, ideas, and framework of cognitive instant structures had to begin the advance of future-generation instant structures and networks.

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Extra resources for Cognitive Radio Networks: Architectures, Protocols, and Standards (Wireless Networks and Mobile Communications)

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H. Sayed, and V. Poor. Wideband spectrum sensing in cognitive radio networks. 4130, 2008. I. Skolnik. Introduction to Radar Systems. McGraw-Hill, Singapore, 1980. L. Vantrees. Detection, Estimation and Modulation Theory, Vol. 1. Wiley, New York, 1968. V. Poor. An Introduction to Signal Detection and Estimation. Springer, New York, 1994. H. Urkowitz. Energy detection of unknown deterministic signals. Proceedings of the IEEE, 55:523–531, 1967. R. Tandra and A. Sahai. Fundamental limits on detection in low SNR under noise uncertainty.

44 46 50 51 52 Current static and rigid spectrum licensing policy has resulted in very inefficient spectrum utilization [1–3]. Cognitive radio (CR) [4–8] has been extensively researched in recent years as a promising technology to improve spectrum utilization. The ultimate goal of CR research is to establish a CR network that is either self-sufficient in delivering a multitude of wireless services or capable of assisting existing wireless networks to enhance their performance. The performance of a CR network is inevitably affected by the coexisting primary systems.

24 Cognitive Radio Networks Note, moreover, that the test under H1 hypothesis also provides a good estimator of the SNR ρ. Indeed, the ratio of largest eigenvalue (b ) and smallest (a) of N1 YY H is related solely to ρ and α: (ρ + 1) 1 + α ρ b = √ 2 . 5 Conclusions and Open Issues In this chapter, the state of the art of spectrum-sensing techniques for cognitive radio networks were covered. We presented not only the classical techniques, inspired by the signal detection approaches developed for radar systems, but also some newly developed ones, carefully tailored for the cognitive radio network scenario.

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