Self-organizing networks : self-planning, self-optimization and self-healing for GSM, UMTS, and LTE / / editors, Juan Ramiro, Khalid Hamied.

"The book offers a multi-technology approach as it will consider the implications of the different SON requirements for 2G and 3G networks, as well as 4G wireless technologies"--

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Bibliographic Details
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Year of Publication:2012
Language:English
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Physical Description:xxvi, 292 p.
Notes:Includes index.
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Table of Contents:
  • Machine generated contents note: With the current explosion in network traffic, and mounting pressure on operators' business case, Self-Organizing Networks (SON) play a crucial role. They are conceived to minimize human intervention in engineering processes and at the same time improve system performance to maximize Return-on-Investment (ROI) and secure customer loyalty.Written by leading experts in the planning and optimization of Multi-Technology and Multi-Vendor wireless networks, this book describes the architecture of Multi-Technology SON for GSM, UMTS and LTE, along with the enabling technologies for SON planning, optimization and healing. This is presented mainly from a technology point of view, but also covers some critical business aspects, such as the ROI of the proposed SON functionalities and Use Cases.Key features: Follows a truly Multi-Technology approach: covering not only LTE, but also GSM and UMTS, including architectural considerations of deploying SON in today's GSM and UMTS networks Features detailed discussions about the relevant trade-offs in each Use Case Includes field results of today's GSM and UMTS SON implementations in live networks Addresses the calculation of ROI for Multi-Technology SON, contributing to a more complete and strategic view of the SON paradigm This book will appeal to network planners, optimization engineers, technical/strategy managers with operators and R&D/system engineers at infrastructure and software vendors. It will also be a useful resource for postgraduate students and researchers in automated wireless network planning and optimization.