IP for 3G: Networking Technologies for Mobile Communications
Author: Dave Wisely
What is an 'all-IP' network? What difference will IP networking make to 3G services?
Third Generation (3G) mobile offers access to broadband multimedia services - and in the future most of these, even voice and video, will be IP-based. However 3G networks are not based on IP technologies, rather they are an evolution from existing 2G networks. Much work needs to be done to IP QoS and mobility protocols and architectures for them to be able to provide the functionality 3G requires.
IP for 3G gives a comprehensive overview of 3G networking functionality and examines how IP protocols can be developed to provide some of the basic building blocks of a mobile system (mobility, QoS and call control)
Features:
* Clear explanation of how 3G works at the network level.
* Review of IP protocol and architectural principles.
* Extensive review, classification and analysis of IP mobility protocols - macro and micro- including IPv6.
* Analysis of IP QoS protocols and proposed solutions for mobile networks.
* Tutorial on SIP (Session Initiation Protocol) and how SIP can be used for multimedia session control.
* Description of latest UMTS developments - including Release 5.
* Discussion of 4G networks - what does 4G mean?
IP for 3G will appeal to mobile telecommunications and network engineers who want to know about future developments as well as system designers and developers. Students and academics on postgraduate courses related to telecommunications, especially 3G networking or IP protocols, will find this text ideal supplementary reading, only assuming a general knowledge of GSM and general networking principles.
Booknews
Explores ways to bring the networking protocols and principles of the internet into third generation (3G) mobile phone networks. The authors, who work for BTexact Technologies in the UK, review the architecture of a UMTS network, the internet protocol stack, security techniques, call session control, mobility management, and quality of service before outlining the design of an all-IP mobile network. The book is appropriate for graduate students in telecommunications, as well as practicing network engineers. Annotation c. Book News, Inc., Portland, OR
Table of Contents:
| Acknowledgements | ||
| 1 | Introduction | 1 |
| 2 | An Introduction to 3G Networks | 21 |
| 3 | An Introduction to IP Networks | 71 |
| 4 | Multimedia Service Support and Session Management | 121 |
| 5 | IP Mobility | 143 |
| 6 | Quality of Service | 201 |
| 7 | IP for 3G | 249 |
| Abbreviations | 279 | |
| Index | 287 |
Interesting book: Monkey Business or The Psychology of Selling
Neural Systems for Control
Author: Omid M Omidvar
Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance.
Key Features
* Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory
* Represents the most up-to-date developments in this rapidly growing application area of neural networks
* Takes a new and novel approach to system identification and synthesis
