Self-Organized Mobile Communication Technologies and Techniques for Network Optimization

Self-Organized Mobile Communication Technologies and Techniques for Network Optimization

Release Date: April, 2016|Copyright: © 2016 |Pages: 416
DOI: 10.4018/978-1-5225-0239-5
ISBN13: 9781522502395|ISBN10: 1522502394|EISBN13: 9781522502401
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Description & Coverage
Description:

With increased consumer use and adoption, mobile communication technologies are faced with the challenge of creating an adequate wireless networking architecture that can support a high degree of scalability, performance, and reliability in a cost-effective manner without comprising security or quality of service.

Self-Organized Mobile Communication Technologies and Techniques for Network Optimization explores self-organizing networks (SONs) as a proposed solution for the automation of mobile communication tasks that currently require significant efforts for planning, operation, and management. Emphasizing research on the latest generation of mobile communication networks, the 5th generation (5G), this publication proposes timely solutions and presents the latest developments in the field of mobile communication technologies. IT developers, engineers, graduate-level students, and researchers will find this publication to be essential to their research needs.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Cellular Network
  • Cognitive Radio Networks
  • Internet of Things (IoT)
  • Network Optimization
  • Network Planning
  • Network Sustainability
  • Self-Organized Networks
Reviews & Statements

Contributors from information, communication, computer, and electrical engineering investigate developments, research challenges, and limitations of methods, models, and new strategies for next-generation mobile communication networks. They cover self-organization in future mobile communications systems; wireless access and network architecture; network design, control, and performance; and test beds, experiments, applications, and services. Among the topics are models and algorithms for network optimization methods for the self-organization of future cellular networks, trust-based security mechanisms for self-organized networks, direction of arrival and channel estimation, and trace-based and social-based modeling of human mobility patterns.

– ProtoView Reviews
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Editor/Author Biographies

Ali Diab received the B.E. degree in Electronic Engineering from the Damascus University, Damascus, Syria, in 1999 and the Diploma degree in Computer Science and Automation from the same university in 2000. After that, he obtained his Dr.-Ing. Title from the Ilmenau University of Technology, Faculty of Computer Science in 2010. His dissertation focused on mobility management in IP-based networks. Currently, he is pursuing his postdoctoral degree at the Ilmenau University of Technology on the topic “Self-Organized Future Mobile Communication Networks”.

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