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Robust Resource Allocation in Future Wireless Networks (Hardcover, 1st ed. 2017) Loot Price: R4,392
Discovery Miles 43 920
Robust Resource Allocation in Future Wireless Networks (Hardcover, 1st ed. 2017): Saeedeh Parsaeefard, Ahmad Reza Sharafat,...

Robust Resource Allocation in Future Wireless Networks (Hardcover, 1st ed. 2017)

Saeedeh Parsaeefard, Ahmad Reza Sharafat, Nader Mokari

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Loot Price R4,392 Discovery Miles 43 920 | Repayment Terms: R412 pm x 12*

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This book presents state-of-the-art research on robust resource allocation in current and future wireless networks. The authors describe the nominal resource allocation problems in wireless networks and explain why introducing robustness in such networks is desirable. Then, depending on the objectives of the problem, namely maximizing the social utility or the per-user utility, cooperative or competitive approaches are explained and their corresponding robust problems are considered in detail. For each approach, the costs and benefits of robust schemes are discussed and the algorithms for reducing their costs and improving their benefits are presented. Considering the fact that such problems are inherently non-convex and intractable, a taxonomy of different relaxation techniques is presented, and applications of such techniques are shown via several examples throughout the book. Finally, the authors argue that resource allocation continues to be an important issue in future wireless networks, and propose specific problems for future research.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: March 2017
First published: 2017
Authors: Saeedeh Parsaeefard • Ahmad Reza Sharafat • Nader Mokari
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Hardcover
Pages: 245
Edition: 1st ed. 2017
ISBN-13: 978-3-319-50387-5
Categories: Books > Computing & IT > Internet > Network computers
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN: 3-319-50387-1
Barcode: 9783319503875

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