Self-Organizing Networks (SON): Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE
Self-Organizing Networks (SON): Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE
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DOI：
10.1002/9781119954224
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发表时间：
2012-01
期刊：
影响因子：
--
通讯作者：
Juan Ramiro;K. Hamied
中科院分区：
文献类型：
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作者：
Juan Ramiro;K. Hamied
随着当前网络流量的爆炸式增长，运营商的业务压力越来越大，自组织网络（SON）发挥着至关重要的作用。本书由多技术和多供应商无线网络规划和优化领域的领先专家撰写，介绍了GSM、UMTS和LTE的多技术SON架构，沿着SON规划的使能技术，并介绍了基于多技术SON的网络规划和优化技术，以及基于多技术SON的网络规划和优化技术。优化和治疗。这主要是从技术的角度来介绍的，但也涵盖了一些关键的业务方面，例如拟议的SON功能和用例的ROI。关键特性：遵循真正的多技术方法：不仅覆盖LTE，而且覆盖GSM和UMTS，包括在当今的GSM和UMTS网络中部署SON的架构考虑。每个用例中的offs包括当今GSM和UMTS SON在实时网络中实现的现场结果，介绍了多技术SON的ROI计算，有助于SON范例的更完整和战略性的观点这本书将吸引网络规划者，优化工程师，基础设施和软件供应商的技术/战略经理、运营商和研发/系统工程师。它也将是一个有用的资源，为研究生和研究人员在自动无线网络规划和优化。
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 todays GSM and UMTS networksFeatures detailed discussions about the relevant trade-offs in each Use CaseIncludes field results of todays GSM and UMTS SON implementations in live networksAddresses the calculation of ROI for Multi-Technology SON, contributing to a more complete and strategic view of the SON paradigmThis 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.