Information and communication technologies (ICT) are a vital component of successful business models. As new technologies emerge, organizations must adapt quickly and strategically to these changes or risk falling behind. Evolution and Standardization of Mobile Communications Technology examines methods of developing and regulating compatibility standards in the ICT industry, assisting organizations in their application of the latest communications technologies in their business practices. Organizations maintain competitive advantage by implementing cutting-edge technologies as soon as they appear. This book serves as a compendium of the most recent research and development in this arena, providing readers with the insight necessary to take full advantage of a wide range of ICT solutions. This book is part of the Advances in IT Standards and Standardization Research series collection.

Examines methods of developing and regulating compatibility standards in the ICT industry, assisting organisations in their application of the latest communications technologies in their business practices. This book serves as a compendium of the most recent research and development in this arena, providing readers with the insight necessary to take full advantage of a wide range of ICT solutions.

In the telecom world, services have usually been conceived with a specific mindset. This mindset has defined the traditional characteristics of these services; services distinguished by their linkage with the access network, tight control over service use (e.g., authentication, billing), lack of deep personalization capabilities (mass services only) and reliance on standardization to achieve end-to-end interoperability between all the actors of the value chain (e.g., operators, platform manufacturers, device manufactures). This book offers insights into this complex but exciting world of telecommunications characterized by constant evolution, and approaches it from technology as well as business perspectives. The book is appropriately structured in three parts: (a) an overview of the state-of-the-art in fixed/mobile NGN and standardization activities; (b) an analysis of the competitive landscape between operators, device manufactures and OTT providers, emphasizing why network operators are challenged on their home turf; and (c) opportunities for business modeling and innovative telecom service offers.

In response to a request from the Defense Advanced Research Projects Agency, the committee studied a range of issues to help identify what strategies the Department of Defense might follow to meet its need for flexible, rapidly deployable communications systems. Taking into account the military's particular requirements for security, interoperability, and other capabilities as well as the extent to which commercial technology development can be expected to support these and related needs, the book recommends systems and component research as well as organizational changes to help the DOD field state-of-the-art, cost-effective untethered communications systems. In addition to advising DARPA on where its investment in information technology for mobile wireless communications systems can have the greatest impact, the book explores the evolution of wireless technology, the often fruitful synergy between commercial and military research and development efforts, and the technical challenges still to be overcome in making the dream of "anytime, anywhere" communications a reality.

Cognitive networks can be crucial for the evolution of future communication systems; however, current trends have indicated major movement in other relevant fields towards the integration of different techniques for the realization of self-aware and self-adaptive communication systems. Evolution of Cognitive Networks and Self-Adaptive Communication Systems overviews innovative technologies combined for the formation of self-aware, self-adaptive, and self-organizing networks. By aiming to inform the research community and the related industry of solutions for cognitive networks, this book is essential for researchers, instructors, and professionals interested in clarifying the latest trends resulting in a unified realization for cognitive networking and communication systems.

3G networks: architecture, planning, migration, management, and optimization. Network architectures, planning, management, and optimization 3G air interfaces: UTRA/W-CDMA and cdma2000 3G data services: UTRA/W-CDMA, cdma2000, GPRS, and EDGE Evolutionary paths for 2G networks WLL, WAP, and more New 3G systems will trigger an explosion in wireless Internet and data applications by delivering far higher data rates than have ever been possible in wireless systems before. In "Wireless Network Evolution: 2G to 3G," renowned wireless expert Vijay K. Garg covers key 3G standard and every technical issue associated with planning, management, and optimization of 3G systems. Garg reviews the fundamental principles underlying existing 2G systems, then offers specific, practical guidance on migration to 3G. Coverage includes: 3G standards activities 3G European and North American systems 3G data services for UTRA/W-CDMA, cdma2000, GPRS, and EDGE networks Wireless Application Protocol (WAP) and 3G systems Major 3G enhancements for WLL applications New RF optimization techniques for 3G systems "Wireless Network Evolution: 2G to 3G" will be an invaluable resource for every practicing telecommunications engineer and technical decision maker involved in 3G planning, deployment, or management.

Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.