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.

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