QoS and Energy Management in Cognitive Radio Network [electronic resource] : Case Study Approach / by Vishram Mishra, Jimson Mathew, Chiew-Tong Lau.
By: Mishra, Vishram [author.].
Contributor(s): Mathew, Jimson [author.] | Lau, Chiew-Tong [author.] | SpringerLink (Online service).
Material type: BookSeries: Signals and Communication Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XII, 202 p. 60 illus., 39 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319458601.Subject(s): Telecommunication | Electronic digital computers—Evaluation | Communications Engineering, Networks | System Performance and EvaluationAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access onlineIntroduction -- Cognitive Radio Network and QoS provisioning -- QoS Provisioning Framework for Cognitive Radio Network -- Channel Selection Techniques in Cognitive Radio Network -- Energy Management in Cognitive Radio Network -- Media Access Scheme for Cognitive Radio Network -- Self-Coexistence among Cognitive Radio Networks -- Case Studies- QoS Framework for Cognitive radio network.
This book covers the important aspects involved in making cognitive radio devices portable, mobile and green, while also extending their service life. At the same time, it presents a variety of established theories and practices concerning cognitive radio from academia and industry. Cognitive radio can be utilized as a backbone communication medium for wireless devices. To effectively achieve its commercial application, various aspects of quality of service and energy management need to be addressed. The topics covered in the book include energy management and quality of service provisioning at Layer 2 of the protocol stack from the perspectives of medium access control, spectrum selection, and self-coexistence for cognitive radio networks.
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