
Radio Resource Management in Cellular Systems
Kluwer Academic Publishers
Published on 30. June 2001
Book
Hardback
XV, 231 pages
978-0-7923-7374-2 (ISBN)
Description
Radio Resource Management in Cellular Systems
is the first book to address the critical issue of radio resource management in emerging (i.e., third generation and beyond) wireless systems. This book presents novel approaches for the design of high performance handoff algorithms that exploit attractive features of several existing algorithms, provide adaptation to dynamic cellular environment, and allow systematic tradeoffs among different system characteristics. Efficient handoff algorithms cost-effectively enhance the capacity and quality of service (QoS) of cellular systems. A comprehensive foundation of handoff and related issues of cellular communications is given.
Tutorial-type material on the general features of 3G and 3.5G wireless systems (including CDMA2000, UMTS, and 1xEV-DO) is provided. Key elements for the development of simulators to study handoff and overall RF performance of the integrated voice and data cellular systems (including those based on CDMA) are also described.
Finally, the powerful design tools of neural networks and fuzzy logic are applied to wireless communications, so that the generic algorithm approaches proposed in the book can be applied to many other design and development areas. The simulation models described in the book represent a single source that provides information for the performance evaluation of systems from handoff and resource management perspectives.
Radio Resource Management in Cellular Systems will prove a valuable resource for system designers and practicing engineers working on design and development of third generation (and beyond) wireless systems. It may also be used as a text for advanced-level courses in wireless communications and neural networks.
Tutorial-type material on the general features of 3G and 3.5G wireless systems (including CDMA2000, UMTS, and 1xEV-DO) is provided. Key elements for the development of simulators to study handoff and overall RF performance of the integrated voice and data cellular systems (including those based on CDMA) are also described.
Finally, the powerful design tools of neural networks and fuzzy logic are applied to wireless communications, so that the generic algorithm approaches proposed in the book can be applied to many other design and development areas. The simulation models described in the book represent a single source that provides information for the performance evaluation of systems from handoff and resource management perspectives.
Radio Resource Management in Cellular Systems will prove a valuable resource for system designers and practicing engineers working on design and development of third generation (and beyond) wireless systems. It may also be used as a text for advanced-level courses in wireless communications and neural networks.
More details
Series
Edition
2001 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
XV, 231 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 18 mm
Weight
547 gr
ISBN-13
978-0-7923-7374-2 (9780792373742)
DOI
10.1007/b117444
Schweitzer Classification
Other editions
Additional editions

Nishith D. Tripathi | Jeffrey H. Reed | Hugh F. VanLandingham
Radio Resource Management in Cellular Systems
Book
12/2010
Springer
€106.99
Shipment within 15-20 days
Nishith D. Tripathi
Radio Resource Management in Cellular Systems
Online / Databases
12/2002
Kluwer Academic Publishers
€192.76
Access within 10-15 days
Content
Handoff and Radio Resource Management in Cellular Systems.- Fuzzy Logic and Neural Networks.- Analysis of Handoff and Radio Resource Management Algorithms.- A Generic Fuzzy Logic Based Handoff Algorithm.- A Neural Encoded Fuzzy Logic Algorithm.- A Unified Handoff Candidacy Algorithm.- Pattern Classification Based Handoff Algorithms.- Microcellular Handoff Algorithms.- Overlay Handoff Algorithms.- Soft Handoff Algorithms.- Radio Resource Management and Emerging Cellular Systems.