Interference management in wireless networks : fundamental bounds and the role of cooperation / Venugopal V. Veeravalli, University of Illinois, Urbana-Champaign, Aly El Gamal, Purdue University.
By: Veeravalli, Venugopal V [author.]
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Contributor(s): Gamal, Aly El [author.].
Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2018Description: 1 online resource (x, 214 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781316691410 (ebook).Subject(s): Radio -- Interference | Wireless communication systems -- ManagementAdditional physical formats: Print version: : No titleDDC classification: 621.388/1 Online resources: Click here to access online Summary: Learn about an information-theoretic approach to managing interference in future generation wireless networks. Focusing on cooperative schemes motivated by Coordinated Multi-Point (CoMP) technology, the book develops a robust theoretical framework for interference management that uses recent advancements in backhaul design, and practical pre-coding schemes based on local cooperation, to deliver the increased speed and reliability promised by interference alignment. Gain insight into how simple, zero-forcing pre-coding schemes are optimal in locally connected interference networks, and discover how significant rate gains can be obtained by making cell association decisions and allocating backhaul resources based on centralized (cloud) processing and knowledge of network topology. Providing a link between information-theoretic analyses and interference management schemes that are easy to implement, this is an invaluable resource for researchers, graduate students and practicing engineers in wireless communications.
Title from publisher's bibliographic system (viewed on 09 Feb 2018).
Learn about an information-theoretic approach to managing interference in future generation wireless networks. Focusing on cooperative schemes motivated by Coordinated Multi-Point (CoMP) technology, the book develops a robust theoretical framework for interference management that uses recent advancements in backhaul design, and practical pre-coding schemes based on local cooperation, to deliver the increased speed and reliability promised by interference alignment. Gain insight into how simple, zero-forcing pre-coding schemes are optimal in locally connected interference networks, and discover how significant rate gains can be obtained by making cell association decisions and allocating backhaul resources based on centralized (cloud) processing and knowledge of network topology. Providing a link between information-theoretic analyses and interference management schemes that are easy to implement, this is an invaluable resource for researchers, graduate students and practicing engineers in wireless communications.
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