Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explains various applications for robust optimization theory in wireless networks Describes different approaches for reducing the costs of introducing robustness for allocating resources in wireless networks Presents advanced mathematical.

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Bibliographic Details

Title

Robust Resource Allocation in Future Wireless Networks

Publisher

Springer International Publishing

Publication Date

2018

Language

English

ISBN 10

3319843885

ISBN 13

9783319843889

Binding

Soft cover

Condition

New

Seller catalogs

Mathematik/Naturwissenschaften/Technik/Medizin

About this title

Synopsis

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, theauthors argue that resource allocation continues to be an important issue in future wireless networks, and propose specific problems for future research.

From the Back Cover

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.

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