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Cover Art

Title Spectrum trading in multi-hop cognitive radio networks / Miao Pan, Ming Li, Pan Li, Yuguang Fang.

Published Cham : Springer, 2015.


Location Call No. Status
Physical description 1 online resource (xi, 59 pages) : illustrations (some color).
Series SpringerBriefs in electrical and computer engineering, 2191-8112
SpringerBriefs in electrical and computer engineering, 2191-8112
Springer English/International eBooks 2015 - Full Set
Bibliography Includes bibliographical references.
Contents The Network Architecture for Spectrum Trading -- Economic-Robust Transmission Opportunity Based Spectrum Trading -- A Session Based Spectrum Trading System under Uncertain Spectrum Supply -- Economic-Robust Session Based Spectrum Trading.
Summary This SpringerBrief focuses on spectrum trading designs in multi-hop cognitive radio networks. It starts with the motivation for spectrum trading and the review of existing spectrum trading designs. Then, it presents a novel CRN architecture for spectrum trading considering spectrum trading?s economic features and wireless nature. Under this network architecture, it extends current single-hop per-user based spectrum trading design into a multi-hop transmission opportunity based one, and further into a session based one, while having economic properties guaranteed. This SpringerBrief not only provides a good review of current spectrum trading designs, it also touches on the cutting-edge interdisciplinary spectrum trading research on disparate fields of modeling, network architecture design, optimization theories, statistics, and economic theories. Advanced-level students studying computer science, electrical and computer engineering and economics, wireless network planners, and wireless spectrum engineers will find this book a useful tool.
Other author Pan, Miao, author.
Li, Ming, 1985- author.
Li, Pan, author.
Fang, Yuguang, author.
SpringerLink issuing body.
Subject Cognitive radio networks.
Electronic books.
Electronic books.
Electronic books.
ISBN 9783319256313
Standard Number 10.1007/978-3-319-25631-3