Radio Resource Management in Wireless Networks: An Engineering Approach

Hossain, Ekram/ Rasti, Mehdi (Editor)/ Le, Long Bao (Editor)

ISBN 10: 1107102499 / ISBN 13: 9781107102491

Published by Cambridge Univ Pr, 2017

About this Item

502 pages. 10.50x8.00x0.50 inches. In Stock.

Seller Inventory # x-1107102499

Bibliographic Details

• Title: Radio Resource Management in Wireless Networks: An Engineering Approach
• Publisher: Cambridge Univ Pr
• Publication Date: 2017
• Language: English
• ISBN 10: 1107102499
• ISBN 13: 9781107102491
• Binding: Hardcover
• Condition: Brand New
• Weight: 1.01 kilograms

About this title

Synopsis

Do you need to design efficient wireless communications systems? This unique text provides detailed coverage of radio resource allocation problems in wireless networks and the techniques that can be used to solve them. Covering basic principles and mathematical algorithms, and with a particular focus on power control and channel allocation, you will learn how to model, analyze, and optimize the allocation of resources in both physical and data link layers, and for a range of different network types. Both established and emerging networks are considered, including CDMA and OFDMA wireless networks, relay-based wireless networks, and cognitive radio networks. Numerous exercises help you put knowledge into practice, and provide the tools needed to address some of the current research problems in the field. This is an essential reference whether you are a graduate student, researcher or industry professional working in the field of wireless communication networks.

About the Authors

Ekram Hossain is a Professor in the Department of Electrical and Computer Engineering at the University of Manitoba, Canada and a fellow of the Institute of Electrical and Electronics Engineers. He is the co-author or co-editor of several books, including Wireless Device-to-Device Communications and Networks (with Lingyang Song, Dusit Niyato and Zhu Han, Cambridge, 2015) and Smart Grid Communications and Networking (with Zhu Han and H. Vincent Poor, Cambridge, 2012).

Mehdi Rasti is an Assistant Professor in the Department of Computer Engineering and Information Technology at the Amirkabir University of Technology, Tehran. He previously worked at the Shiraz University of Technology, Iran and the KTH Royal Institute of Technology, Sweden.

Long Bao Le is an Associate Professor at the National Institute of Scientific Research, Université du Québec, Montréal.