Understanding Umts Radio Network Modelling Planning And Automated Optimisation

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Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation

Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation
Author :
Publisher : John Wiley & Sons
Total Pages : 544
Release :
ISBN-10 : 9780470030578
ISBN-13 : 0470030577
Rating : 4/5 (577 Downloads)

Book Synopsis Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation by : Maciej Nawrocki

Download or read book Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation written by Maciej Nawrocki and published by John Wiley & Sons. This book was released on 2006-07-06 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sets out to provide the theoretical foundations that will enable radio network planners to plan model and optimize radio networks using state-of-the-art findings from around the globe. It adopts a logical approach, beginning with the background to the present status of UMTS radio network technology, before devoting equal coverage to planning, modelling and optimization issues. All key planning areas are covered, including the technical and legal implications of network infrastructure sharing, hierarchical cell structure (HCS) deployment, ultra-high-site deployment and the benefits and limitations of using computer-aided design (CAD) software. Theoretical models for UMTS technology are explained as generic system models, stand-alone services and mixed services. Business modelling theory and methods are put forward, taking in propagation calculations, link-level, UMTS static and UMTS dynamic simulations. The challenges and goals of the automated optimization process are explored in depth using cutting-edge cost function and optimization algorithms. This theory-based resource containing prolific illustrative case studies explains the reasons for UMTS radio networks performance issues and how to use this foundational knowledge to model, plan and optimize present and future systems.


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