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Practical tools for analyzing, calculating, and reporting availability, reliability, and maintainability metrics Engineers in the telecommunications industry must be able to quantify system reliability and availability metrics for use in service level agreements, system design decisions, and daily operations. Increasing system complexity and software dependence require new, more sophisticated tools for system modeling and metric calculation than those available in the current literature. Telecommunications System Reliability Engineering, Theory, and Practice provides a background in reliability engineering theory as well as detailed sections discussing applications to fiber optic networks (earth station and space segment), microwave networks (long-haul, cellular backhaul and mobile wireless), satellite networks (teleport and VSAT), power systems (generators, commercial power and battery systems), facilities management, and software/firmware. Programming techniques and examples for simulation of the approaches presented are discussed throughout the book. This powerful resource: * Acts as a comprehensive reference and textbook for analysis and design of highly reliable and available telecommunications systems * Bridges the fields of system reliability theory, telecommunications system engineering, and computer programming * Translates abstract reliability theory concepts into practical tools and techniques for technical managers, engineers and students * Provides telecommunication engineers with a holistic understanding of system reliability theory, telecommunications system engineering, and reliability/risk analysis Telecommunications System Reliability Engineering, Theory, and Practice is a must-have guide for telecommunications engineers or engineering students planning to work in the field of telecommunications Telecommunications System Reliability Engineering, Theory, and Practice is a must-have guide for telecommunications engineers or engineering students planning to work in the field of telecommunications.
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Seitenzahl: 327
Veröffentlichungsjahr: 2012
IEEE Press445 Hoes LanePiscataway, NJ 08854
IEEE Press Editorial BoardJohn B. Anderson, Editor in Chief
Kenneth Moore, Director of IEEE Book and Information Services (BIS)
Technical ReviewersGene Strid, Vice President and Chief Technology Officer at GCI
Contents
Cover
Series Page
Title Page
Copyright
List of Illustrations
Preface
About the Author
Acronym List
Introduction
Chapter 1: Reliability Theory
1.1 System Metrics
1.2 Statistical Distributions
1.3 System Modeling Techniques
1.4 Systems with Repair
1.5 Markov Chain Models
1.6 Practical Markov System Models
1.7 Monte Carlo Simulation Models
1.8 Repair Period Models
1.9 Equipment Sparing
Chapter 2: Fiber-Optic Networks
2.1 Terrestrial Fiber-Optic Networks
2.2 Submarine Fiber-Optic Networks
Chapter 3: Microwave Networks
3.1 Long-Haul Microwave Networks
3.2 Short-Haul Microwave Networks
3.3 Local Area Microwave Networks
Chapter 4: Satellite Networks
4.1 Propagation
4.2 Earth Stations
4.3 VSAT Earth Stations
4.4 Earth Stations
4.5 Spacecraft
4.6 Satellite Network Topologies
Chapter 5: Mobile Wireless Networks
5.1 Mobile Wireless Equipment
5.2 Mobile Wireless Network Systems
Chapter 6: Telecommunications Facilities
6.1 Power Systems
6.2 Heating, Ventilation, and Air Conditioning Systems
Chapter 7: Software and Firmware
7.1 Software Failure Mechanisms
7.2 Software Failure Rate Modeling
7.3 Reliability and Availability of Systems With Software Components
References
Index
Cover Image: Bill Donnelley/WT Design
Copyright © 2012 by the Institute of Electrical and Electronics Engineers, Inc.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey. All rights reserved.
Published simultaneously in Canada.
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Library of Congress Cataloging-in-Publication Data:
Ayers, Mark L.
Telecommunications system reliability engineering, theory, and practice / Mark L. Ayers.
p. cm.
ISBN 978-1-118-13051-3 (hardback)
1. Telecommunication systems. I. Title.
TK5101.A89 2012
621.382–dc23
2012013009
List of Illustrations
Figure 1.1 Gaussian CDF and associated reliability function R(t)
Figure 1.2 Average availability for system 1 (short duration, frequent outages) and system 2 (long duration, infrequent outages)
Figure 1.3 Bathtub curve for electronic systems
Figure 1.4 Exponential distribution PDF for varying values of λ
Figure 1.5 Exponential distribution CDF for varying values of λ
Figure 1.6 Normal distribution PDF of TTR, where μ = 8 h and σ = 2 h
Figure 1.7 Normal distribution CDF of TTR, where μ = 8 h and σ = 2 h
Figure 1.8 Weibull distributed random variable for submarine fiber-optic cable TTR
Figure 1.9 Series and parallel reliability block diagrams
Figure 1.10 Series structure reliability block diagram
Figure 1.11 Single-thread satellite link RF chain
Figure 1.12 Parallel structure reliability block diagram
Figure 1.13 Parallel satellite RF chain system
Figure 1.14 One-for-two (1:2) redundant HPA system block diagram
Figure 1.15 Redundant Markov chain state diagram
Figure 1.16 Redundant Markov chain state diagram, identical components
Figure 1.17 Single-component Markov state transition diagram
Figure 1.18 Hot-standby redundant Markov state transition diagram
Figure 1.19 Cold-standby Markov state transition diagram
Figure 1.20 Monte Carlo system analysis algorithm
Figure 1.21 Component model
Figure 1.22 State vector algorithm flow chart
Figure 1.23 Sample state vector algorithm output
Figure 1.24 Serial component state assessment flow diagram
Figure 1.25 Parallel component state assessment flow diagram
Figure 1.26 Exponentially distributed TTR with MTTR = 8 h
Figure 1.27 Normal distributed TTR with MTTR = 8 h, variance = 2 h
Figure 1.28 Centralized warehousing and dispatch sparing approach
Figure 1.29 Territorial warehousing and dispatch sparing approach
Figure 1.30 On-site sparing approach
Figure 2.1 Shallow-buried fiber-optic cable installation example in western Alaska
Figure 2.2 Terrestrial fiber-optic cable TTF model PDF and CDF
Figure 2.3 Terrestrial fiber-optic cable TTR model PDF and CDF
Figure 2.4 Monte Carlo simulation results for terrestrial fiber-optic cable
Figure 2.5 Terrestrial fiber-optic terminal functional block diagram
Figure 2.6 Unprotected fiber-optic network system block diagram
Figure 2.7 Unprotected fiber-optic network reliability block diagram
Figure 2.8 UPSR ring network topology, normal operation
Figure 2.9 UPSR ring network topology, fiber path failure
Figure 2.10 UPSR ring network topology, transceiver failure
Figure 2.11 Example SONET network topology for Monte Carlo analysis
Figure 2.12 UPSR system model rule set flow chart
Figure 2.13 UPSR system model simulation results
Figure 2.14 Submarine fiber-optic network block diagram
Figure 2.15 Submarine line terminal equipment functional block diagram
Figure 2.16 Power feed equipment operation, nominal and failure
Figure 2.17 Normal distributed submarine cable TTR model
Figure 2.18 Sample submarine system with 10 periodic repeaters
Figure 2.19 Submarine repeater RBD
Figure 3.1 Long-haul microwave network tower in western Alaska
Figure 3.2 Multipath signal propagation
Figure 3.3 Multipath outage event model using uniform occurrence distribution
Figure 3.4 Multihop microwave radio link in a low-intensity rain region
Figure 3.5 Long-haul microwave radio block diagram
Figure 3.6 Microwave tower damaged by ice formation
Figure 3.7 Ice bridge infrastructure damaged by ice formation
Figure 3.8 Long-haul microwave antenna mount damaged by ice formation
Figure 3.9 Sample microwave radio block diagram
Figure 3.10 Two-hop radio transceiver system (one-for-two redundancy)
Figure 3.11 Single-thread transceiver system RBD
Figure 3.12 One-for-one redundant transceiver system RBD
Figure 3.13 One-for-two redundant transceiver system RBD
Figure 3.14 Two-hop radio link serial transceiver RBD
Figure 3.15 Microwave TRX path reliability comparison
Figure 3.16 Long-haul microwave network multiplexed baseband OC-3 interface
Figure 3.17 Single-hop long-haul microwave network block diagram
Figure 3.18 Single-hop long-haul microwave radio system model rule set
Figure 3.19 Single-hop long-haul microwave radio system availability
Figure 3.20 Single-hop long-haul microwave radio downtime distribution
Figure 3.21 Three-hop long-haul microwave availability analysis
Figure 3.22 Short-haul microwave fiber optic ring network restoral path
Figure 3.23 Short-haul microwave cellular network backhaul application
Figure 3.24 Short-haul microwave urban structure application
Figure 3.25 Short-haul cellular backhaul microwave radio
Figure 3.26 Unlicensed short-haul commercial service microwave radio
Figure 3.27 Short-haul microwave availability for redundant and single-thread designs at varying MTTR values
Figure 3.28 Point-to-point versus local area network topology failure modes
Figure 3.29 Generic local area microwave network elements
Figure 3.30 Local area wireless network heat map coverage region
Figure 3.31 Wi-Fi access point functional block diagram
Figure 3.32 Radio design types, integrated versus split (ODU/IDU)
Figure 3.33 Sample Wi-Fi local area wireless network diagram
Figure 4.1 Satellite earth station multipath condition sketch
Figure 4.2 Generalized satellite earth station equipment complement
Figure 4.3 Remote VSAT signal chain block diagram
Figure 4.4 VSAT station reliability block diagram
Figure 4.5 C-band satellite earth station constructed in Nome, Alaska
Figure 4.6 Typical earth station RF chain block diagram
Figure 4.7 Nonredundant earth station reliability block diagram
Figure 4.8 Fully redundant earth station system block diagram
Figure 4.9 One-for-two redundant Markov failure state transition diagram
Figure 4.10 Modular satellite power amplifier system block diagram
Figure 4.11 Modular SSPA MTTR distribution model
Figure 4.12 Modular SSPA system availability for three-out-of-four configuration
Figure 4.13 Modular SSPA system availability for seven-out-of-eight configuration
Figure 4.14 In-orbit spare satellite diagram
Figure 4.15 Satellite capacity restoral by in-orbit spare move
Figure 4.16 Satellite capacity restoral by ground station repointing
Figure 4.17 Hub/remote satellite network topology
Figure 4.18 Ku-band hub/remote VSAT network block diagram
Figure 4.19 Ku-band VSAT hub station block diagram
Figure 4.20 Bidirectional point-to-point satellite network block diagram
Figure 5.1 GSM network block diagram
Figure 5.2 Distributed MSC network block diagram
Figure 5.3 Distributed MSC failure scenario and service continuity
Figure 5.4 Base station subsystem block diagram
Figure 5.5 Mobile wireless base station TRX configuration
Figure 5.6 Markov chain state transition diagram for BTS TRX modules
Figure 5.7 Base station overlap and probability of coverage by multiple stations
Figure 5.8 Network switching subsystem packet switching redundancy
Figure 5.9 Example GSM cellular wireless network
Figure 6.1 Primary power system redundancy configurations
Figure 6.2 Weibull distribution fit to transformer TTF and downtime empirical data
Figure 6.3 Single-thread generator system block diagram
Figure 6.4 Single-thread generator TTF and TTR for a village environment
Figure 6.5 Single-thread generator system availability
Figure 6.6 Cold-standby redundant generator system block diagram
Figure 6.7 Cold-standby redundant generator system availability
Figure 6.8 Load-sharing generator system block diagram
Figure 6.9 Load-sharing generator system relaxed TTR model
Figure 6.10 Load-sharing generator system availability
Figure 6.11 Modular rectifier system block diagram
Figure 6.12 1:N and soft-fail rectifier design descriptions
Figure 6.13 Soft-fail rectifier system availability distribution
Figure 6.14 −48 VDC battery plant block diagram
Figure 6.15 Normal distributed TTR with μ = 12 h and σ = 3 h
Figure 6.16 Availability performance versus battery capacity for single-thread and cold-standby generator systems
Figure 6.17 Fiberglass communications shelter dimensions
Figure 6.18 Room air temperature increase rate for two A/C scenarios
Figure 7.1 Sample hardware and software failure rate versus time curve comparison
Figure 7.2 Software reliability improvement failure rate function
Figure 7.3 Software feature addition and upgrade failure rate function
Figure 7.4 Aggregate software failure rate trajectory for reliability improvement and feature addition
Figure 7.5 Component block diagram consisting of hardware and software
Figure 7.6 Discrete hardware and software component reliability functions
Figure 7.7 Total component reliability function for hardware and software
Figure 7.8 Sample software TTR distribution
Figure 7.9 Software and hardware component availability distributions
Figure 7.10 Combined component availability including software and hardware components
Preface
The topic of reliability is somewhat obscure within the field of electrical (and ultimately communications) engineering. Most engineers are familiar with the concept of reliability as it relates to their automobile, electronic device, or home, but performing a rigorous mathematical analysis is not always a comfortable or familiar task. The quantitative treatment of reliability has a long-standing tradition within the field of telecommunications dating back to the early days of Bell Laboratories.
Modern society has developed an insatiable dependence on communication technology that demands a complete understanding and analysis of system reliability. Although the technical innovations developed in modern communications are astonishing engineering marvels, the reliability analysis of these systems can sometimes be treated as a cursory afterthought. Even in cases where analysis of system reliability and availability performance is treated with the highest concern, the sophistication of analysis techniques is frequently lagging behind the technical development itself.
The content in this book is a compilation of years of research and analysis of many different telecommunications systems. During the compilation of this research, two primary points became evident to me. First, most communications engineers understand the need for reliability and availability analysis but lack the technical skill and knowledge to execute these analyses confidently. Second, modern communications network topologies demand an approach to analysis that goes beyond the traditional reliability block diagram and exponential distribution assumptions. Modern computing platforms enable engineers to exploit analysis techniques not possible in the days when the Bell Laboratories' techniques were developed and presented. This book presents techniques that utilize computer simulation and random variable models not feasible 20 years ago. I hope that readers of this book find within it a useful resource that I found absent in the academic literatures during my research and analysis of communications system reliability. Although compilation of the data in this book took me years, it is my desire to convey this information to the reader in a matter of hours, enabling engineers to analyze complex problems using basic tools and theories.
I would like to thank Tom Plevyak and Veli Sahin for their editing and review of this book. Their help in producing this book has been instrumental to its completion and quality.
I would also like to thank Gene Strid for his contributions to my career and to the development of this book. His mentoring spirit and attention to detail have had a significant influence on my personal development as a professional engineer. Gene's technical review of this book alone is impressive in its detail and breadth. Thank you, Gene, for everything you have done to help me remain inspired to grow and learn as an engineer and a leader.
About the Author
Mark Ayers is the Manager of RF Engineering at GCI Communications Corporation headquartered in Anchorage, Alaska. Mark has a broad range of telecommunications experience including work in fiber optics, microwave radio, and satellite network designs. Mark holds a B.S. degree in Mathematics from the University of Alaska Anchorage, and an M.S. degree in Electrical Engineering from the University of Alaska Fairbanks, Fairbanks, Alaska. He is a registered Professional Electrical Engineer in the State of Alaska and a Senior Member of the IEEE. Mark teaches a variety of courses as an Adjunct Faculty Member in the Engineering Department at the University of Alaska Anchorage. His primary interests are systems design, modeling, and optimization.
Acronym List
ACAlternating currentACMAdaptive coding and modulationAGMAbsorbed glass matAPAccess pointLesen Sie weiter in der vollständigen Ausgabe!
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