118,99 €
The first and only up-to-date guide offering complete coverage of HetNets--written by top researchers and engineers in the field Small Cell Networks: Deployment, Management, and Optimization addresses key problems of the cellular network evolution towards HetNets. It focuses on the latest developments in heterogeneous and small cell networks, as well as their deployment, operation, and maintenance. It also covers the full spectrum of the topic, from academic, research, and business to the practice of HetNets in a coherent manner. Additionally, it provides complete and practical guidelines to vendors and operators interested in deploying small cells. The first comprehensive book written by well-known researchers and engineers from Nokia Bell Labs, Small Cell Networks begins with an introduction to the subject--offering chapters on capacity scaling and key requirements of future networks. It then moves on to sections on coverage and capacity optimization, and interference management. From there, the book covers mobility management, energy efficiency, and small cell deployment, ending with a section devoted to future trends and applications. The book also contains: * The latest review of research outcomes on HetNets based on both theoretical analyses and network simulations * Over 200 sources from 3GPP, the Small Cell Forum, journals and conference proceedings, and all prominent topics in HetNet * An overview of indoor coverage techniques such as metrocells, picocells and femtocells, and their deployment and optimization * Real case studies as well as innovative research results based on both simulation and measurements * Detailed information on simulating heterogeneous networks as used in the examples throughout the book Given the importance of HetNets for future wireless communications, Small Cell Networks: Deployment, Management, and Optimization is sure to help decision makers as they consider the migration of services to HetNets. It will also appeal to anyone involved in information and communication technology.
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Seitenzahl: 938
Veröffentlichungsjahr: 2017
IEEE Press445 Hoes Lane Piscataway, NJ 08854
IEEE Press Editorial BoardTariq Samad, Editor in Chief
Giancarlo Fortino
Xiaoou Li
Ray Perez
Dmitry Goldgof
Andreas Molisch
Linda Shafer
Don Heirman
Saeid Nahavandi
Mohammad Shahidehpour
Ekram Hossain
Jeffrey Nanzer
Zidong Wang
Holger Claussen
David López-Pérez
Lester Ho
Rouzbeh Razavi
Stepan Kucera
Copyright © 2017 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada.
No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permission.
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ISBN: 978-1-118-85434-1
ABOUT THE AUTHORS
FOREWORD
ACRONYMS
PART I INTRODUCTION
1 Small Cells—The Future of Cellular Networks
1.1 Introduction
1.2 The Industry Challenge
1.3 Are Small Cells the Answer?
1.4 A Brief History of Small Cells
1.5 Small Cell Challenges and Outline of the Book
References
2 100× Capacity Scaling of Cellular Networks
2.1 Introduction
2.2 System Model
2.3 Network Densification
2.4 Higher Frequency Bands
2.5 Multi-antenna Techniques and Beamforming
2.6 Scheduling
2.7 Energy Efficiency
2.8 What Is Different in Ultra-Dense Small Cell Deployments
2.9 Summary and Conclusions
References
3 Automation of Cellular Networks
3.1 Introduction
3.2 Self-Organizing Network Use Cases and Standardization
3.3 Intelligent Techniques for Self-Organizing Networks
3.4 Case Studies
3.5 Summary and Conclusions
References
PART II COVERAGE AND CAPACITY OPTIMIZATION
4 Frequency Assignment and Access Methods
4.1 Introduction
4.2 Frequency Assignment Approaches
4.3 Access Methods
4.4 Co-channel Operation of Residential Femtocells
4.5 Multi-carrier Soft-Reuse
4.6 Summary and Conclusions
References
5 Coverage and Capacity Optimization for Indoor Cells
5.1 Introduction
5.2 Initial Configuration of Coverage
5.3 Coverage Optimization of Residential Femtocells
5.4 Coverage Optimization of Femtocell Groups
5.5 Summary and Conclusions
References
6 Coverage and Capacity Optimization for Outdoor Cells
6.1 Introduction
6.2 Cell Range Expansion
6.3 Cell Range Expansion Bias Optimization
6.4 Coverage Optimization by Using Switched Multi-element Antenna Systems
6.5 Summary and Conclusions
Appendix 6.A: Proof of Theorem 1
Appendix 6.B: Proof of Theorem 2
Appendix 6.C: Proof of Theorem 3
Appendix 6.D: Derivation of REB for a Desired Coverage Radius
Notes
References
PART III INTERFERENCE MANAGEMENT
7 Frequency-Domain Inter-cell Interference Coordination: Frequency-Domain Inter-cell Interference Coordination
7.1 Introduction
7.2 Carrier Aggregation in LTE-Advanced
7.3 Protocol Architecture and Implementation Aspects
7.4 HetNet Deployments
7.5 Summary and Conclusions
Notes
References
8 Time-Domain Inter-cell Interference Coordination: Time-Domain Inter-cell Interference Coordination
8.1 Introduction
8.2 Almost Blank Subframes
8.3 Configuration and Optimization
8.4 Non-linear Relaxation Approach
8.5 Stochastic Relaxation Approach
8.6 Summary and Conclusions
Notes
References
9 The Sector Offset Configuration
9.1 Introduction
9.2 Macrocell Tier with Horizontal Sector Offset Configuration
9.3 Macrocell Tier with Horizontal and Vertical Sector Offset Configuration
9.4 Small Cell Tier with Sector Offset Configuration
9.5 Scenario and System Model
9.6 Performance Comparison for Macrocell-Only Scenario
9.7 Performance Comparison for HetNet Scenario
9.8 Summary and Conclusions
Notes
References
10 Control Channel Inter-cell Interference Coordination
10.1 Introduction
10.2 Concept of Orthogonally Filled Subframes
10.3 Formal Definition
10.4 Implementation
10.5 Performance Evaluation
10.6 Summary and Conclusions
Notes
References
11 Uplink-Oriented Optimization in Heterogeneous Networks
11.1 Introduction
11.2 3G CDMA Heterogeneous Networks
11.3 4G LTE Heterogeneous Networks
11.4 Summary and Conclusions
Notes
References
PART IV MOBILITY MANAGEMENT AND ENERGY EFFICIENCY
12 Mobility Management
12.1 Introduction
12.2 The Handover Process
12.3 Radio Link failure, Handover Failure and Unnecessary Handovers
12.4 Mobility Challenges in Heterogeneous Networks
12.5 Mobility Performance in Heterogeneous Networks
12.6 Mobility Optimization in Heterogeneous Networks
12.7 Mobility State Estimation
12.8 Summary and Conclusions
References
13 Dormant Cells and Idle Modes
13.1 Introduction
13.2 Potential Energy Saving gains of Deploying Small Cells
13.3 Distributed Idle Mode Procedure for Small Cell Base Stations
13.4 Centralized Idle Mode Procedure for Small Cell Base Stations
13.5 Summary and Conclusions
References
PART V SMALL CELL DEPLOYMENT
14 Backhaul for Small Cells
14.1 Introduction
14.2 Wireless Backhaul
14.3 Wired Backhaul
14.4 Cost
14.5 Summary and Conclusions
References
15 Optimization of Small Cell Deployment
15.1 Introduction
15.2 Overview of the Small Cell Site Selection Process
15.3 UE Traffic Demand Map Generation
15.4 Small Cell Deployment Optimization
15.5 Summary and Conclusions
References
PART VI FUTURE TRENDS AND APPLICATIONS
16 Ultra-Dense Networks
16.1 Introduction
16.2 The Attocell
16.3 Challenges in Attocell Deployments and Operation
16.4 Simulation of an Attocell Deployment
16.5 Simulations of Mobility
16.6 Future Enhancements
16.7 Summary and Conclusions
References
17 HetNet Applications
17.1 Introduction
17.2 Localized and Personalized Push Services
17.3 Proximity and Presence Detection
17.4 Indoor Localization
17.5 Home Automation
17.6 Local Access Control
17.7 Summary and Conclusions
References
A SIMULATING HETNETS
A.1 Introduction
A.2 Network Layout Modeling
A.3 Antenna Gain Modeling
A.4 Path-Loss Modeling
A.5 Environment Loss Modeling
A.6 Shadow Fading Modeling
A.7 Multi-path Fading Gain Modeling
A.8 Received Signal Strength and Quality Modeling
A.9 Throughput Modeling
A.10 User Equipment Location and Traffic Modeling
A.11 Mobility Modeling
A.12 Summary and Conclusions
References
INDEX
IEEE Press Series on: Networks and Services Management
EULA
Chapter 2
Table 2.1
Table 2.2
Table 2.3
Chapter 3
Table 3.1
Table 3.2
Chapter 4
Table 4.1
Table 4.2
Chapter 5
Table 5.1
Table 5.2
Table 5.3
Chapter 7
Table 7.1
Table 7.2
Chapter 8
Table 8.1
Table 8.2
Table 8.3
Table 8.4
Chapter 9
Table 9.1
Table 9.2
Table 9.3
Table 9.4
Chapter 10
Table 10.1
Table 10.2
Table 10.3
Table 10.4
Chapter 11
Table 11.1
Table 11.2
Table 11.3
Chapter 12
Table 12.1
Table 12.2
Chapter 13
Table 13.1
Table 13.2
Chapter 14
Table 14.1
Table 14.2
Table 14.3
Chapter 15
Table 15.1
Table 15.2
Table 15.3
Chapter 16
Table 16.1
A
Table A.1
Table A.2
Table A.3
Table A.4
Table A.5
Table A.6
Table A.7
Table A.8
Table A.9
Table A.10
Cover
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I
II
Dr. Holger Claussen is the leader of the Small Cells Research Department of Nokia Bell Labs located in Ireland and the United States. In this role, he and his team are innovating in all areas related to future evolution, deployment, and operation of small cell networks to enable exponential growth in mobile data traffic. His research in this domain has been commercialized in Nokia’s (formerly Alcatel-Lucent’s) Small Cell product portfolio and continues to have significant impact. He received the 2014 World Technology Award in the individual category Communications Technology for innovative work of the “greatest likely long-term significance”. Prior to this, Holger was the head of the Autonomous Networks and Systems Research Department at Bell Labs Ireland, where he directed research in the area of self-managing networks to enable the first large-scale femtocell deployments from 2009 onward. Holger joined Bell Labs in 2004, where he began his research in the areas of network optimization, cellular architectures, and improving energy efficiency of networks. Holger received his Ph.D. degree in signal processing for digital communications from the University of Edinburgh, UK, in 2004. He is the author of more than 100 publications and 120 filed patent families. He is a fellow of the World Technology Network, a senior member of the IEEE, and a member of the IET.
Dr. David López-Pérez is a member of technical staff in the Small Cells Research Department of Nokia Bell Labs in Ireland. Prior to this, David received B.Sc. and M.Sc. degrees in telecommunication from Miguel Hernandez University, Spain, in 2003 and 2006, respectively, and Ph.D. degree in wireless networking from the University of Bedfordshire, UK, in 2011. David was also an RF engineer with Vodafone, Spain, from 2005 to 2006, and a research associate with King's College London, UK, from 2010 to 2011. David has authored the book Heterogeneous Cellular Networks: Theory, Simulation and Deployment (Cambridge University Press, 2012), as well as more than 100 book chapters, journal articles, and conference papers, all in recognized venues. He also holds more than 35 patent applications. David received the Ph.D. Marie-Curie Fellowship in 2007 and the IEEE ComSoc Best Young Professional Industry Award in 2016. He was also a finalist for the Scientist of the Year prize in the Irish Laboratory Awards in 2013 and 2015. He is an editor of IEEE Transactions on Wireless Communications since 2016 and he was awarded Exemplary Reviewer of IEEE Communications Letters in 2011. He is or has also been a guest editor of a number of journals, for example, IEEE Journal on Selected Areas in Communications and IEEE Communication Magazine.
Dr. Lester Ho is a distinguished member of technical staff in the Small Cells Research department of Nokia Bell Labs in Ireland. He obtained his B.Eng. degree in electronic engineering in 1999, and his Ph.D. degree on self-organizing wireless networks in 2003, both from the University of London. He joined Bell Labs, which was then part of Lucent Technologies, in 2003, where he performed research in various topics in wireless communications, particularly in small cells, self-organizing networks, and network optimization techniques, many of which can be found in commercial deployments today. He has over 40 patents granted, as well as more than 40 publications in journals, conference papers, and book chapters. He is a senior member of the IEEE, and the recipient of the Eckermann-TJA Prize in 2008, and a finalist for the Scientist of the Year prize in the Irish Laboratory Awards in 2014.
Dr. Rouzbeh Razavi received a master’s degree with distinction in information systems and a Ph.D. in computer science, both from the University of Essex, UK. He is currently a faculty member in the Department of Management and Information Systems at the Kent State University, OH, USA. Prior to this, Dr. Razavi was a director in the Group Decision Sciences at the Commonwealth Bank of Australia in New York. Before joining the Commonwealth Bank of Australia, Rouzbeh served as a senior research data scientist at SAP and as a member of technical staff in the Small Cells Research Department of Nokia Bell Labs in Ireland for several years. He has been supervising a number of Ph.D. students and post-doctoral researchers and has published more than 60 technical papers in peer-reviewed journals and conferences. In addition, he has authored five book chapters and filed more than 30 patent applications. Rouzbeh is a senior member of the IEEE and recipient of best paper awards from two international conferences.
Dr. Stepan Kucera is a member of technical staff in the
Over just the last 3 decades communication networks have evolved from simply delivering voice over copper wires to a set of fixed locations (homes, businesses, phone booths, etc.) to connecting over 3.7 billion people wirelessly to a seemingly infinite amount of information accessible in any location, anywhere and at any time.
Despite this remarkable transformation, today we are on the brink of another networking revolution wherein not only all people, but also all machines, systems, processes and devices will be wirelessly connected, with optimised access to a near-unlimited pool of computing and processing resources. This will allow people and automata to digitise, communicate with, and control much of the physical world, which, in turn, will allow a manifest simplification of many aspects of work or personal life. In essence, this simplification by automation will augment human perception and capabilities, to increase the ability to perform tasks and, in effect, to save time.
In order to accomplish this remarkable human transformation, over the next 10 years the capacity of the enabling networks will have to increase by a factor of 100×. To enable such growth, fundamental changes in the way we design, deploy, and operate future networks are required. Future networks will have to be built from a dense array of small cells to allow the massive re-use of the limited low frequency spectrum (<6GHz frequency) and the widespread use of limited-range high frequency (>6GHz) spectrum. In turn, these small cells will have to be connected via an ultra-fast, and low latency backhaul network to a massively-distributed `cloud' of servers, that will host the set of critical `life-enabling' applications, and provide real time analytics, with the requisite privacy and security protections. This book focuses on describing the creation and deployment of these small cells, and the many associated challenges in terms of network design, deployment and optimisation.
The authors of this book have played a pioneering role in the fundamental understanding of small cells and heterogeneous networks, and invented many of the key technologies that underpin small cells. For example, they have pioneered scalable network architectures, and self-configuration and optimisation techniques that have allowed small cells to be deployed with high efficiency and sustainable economics. As a result, for the first time, cellular small cell networks can now be simply deployed without extensive (and expensive) planning, manual configuration or a specialised field force. Their work has paved the way for the commercial small cell deployments, which now number more than 13 million cells, exceeding already the number of conventional macrocells worldwide by more than a factor of 2. Today, it is recognised that small cells are an essential component of future networks, and will form the foundation of all ultra-high capacity (>1Gbps) wireless networks going forward.
This book provides a comprehensive view of the network evolution towards future networks where the majority of capacity will be provided by small cells. It begins by describing the fundamental challenges of enabling a 100× scaling of cellular capacity, and key requirements such as full network automation to enable cost effective deployment and operation. The authors then discuss critical technical elements such as frequency assignment and access methods, coverage and capacity optimisation, interference management, mobility management, energy efficiency and idle modes, backhaul, deployment planning, the management of ultra-dense and heterogeneous networks, and future ultra-high capacity applications. Finally, they provide the detailed model and methodology for simulating and evaluating small cell networks that is used throughout the book.
The innovations described in this book will have a lasting impact on how future wireless networks are architected, deployed and used, not only in the near term (legacy 3G and current 4G networks), but as an essential part of the next generation 5G networks that will be deployed in 2020 and beyond. Researchers, network designers and operators will find this book provides invaluable insights and an in-depth understanding of the foundation of future networks – networks that will form a new digital fabric that will redefine human existence and transform societies and economics. As such, this book will allow the reader to not only understand the past and present, but also the future – and that is undoubtedly time well spent!
DR. MARCUS WELDON
CTO of Nokia and President of Nokia Bell Labs
3G
third-generation
3GPP
Third-Generation Partnership Project
4G
fourth-generation
5G
fifth-generation
AAA
authentication, authorisation and accounting
ABS
almost blank subframe
ACK
acknowledgment
ADC
analog-to-digital converter
AGG
aggressor cell
ANR
automatic neighbor relation
AoA
angle of arrival
API
application programming interface
AR
augmented reality
AWGN
additive white Gaussian noise
BER
bit error rate
BLER
block error rate
BS
base station
CA
closed access
CaCo
carrier component
CAG
carrier aggregation
CAPEX
capital expenditure
CCE
control channel element
CCO
coverage and capacity optimization
CDF
cumulative distribution function
CDMA
code division multiple access
CESM
capacity effective SINR mapping
CFI
control format indicator
CGI
cell global identity
CIF
carrier indicator field
CIO
cell individual offset
CIR
channel impulse response
COC
cell outage compensation
COD
cell outage detection
CoMP
coordinated multi-point
CP
cycle prefix
CPICH
common pilot channel
CQI
channel quality indicator
C-RAN
cloud radio access network
CRE
cell range expansion
C-RNTI
cell radio network temporary identifier
CRS
cell-specific reference symbol
CRT
cell re-selection threshold
CSG
closed subscriber group
CSI
channel state information
CSI-RS
channel state information-reference signals
CSO
cell selection offset
CV
cross-validation
DAC
digital-to-analog converter
DC
direct current
DC-HSPA
dual-carrier high-speed packet access
DCI
downlink control information
DFT
discrete Fourier transform
DFTS
discrete Fourier transform spread
DHCP
dynamic host control protocol
DL
downlink
DRS
discovery reference signal
DRX
discontinuous reception
DSL
digital subscriber line
DSLAM
digital subscriber line access multiplexer
DSP
digital signal processor
DT
decision tree
DTX
discontinuous transmission
EA
evolutionary algorithm
EESM
exponential effective SINR mapping
eICIC
enhanced inter-cell interference coordination
ELF
evolutionary learning of fuzzy rules
EMR
electromagnetic radiation
eNodeB
evolved NodeB
EPB
equal path-loss boundary
EPC
evolved packet core
EPDCCH
enhanced physical downlink control channel
EPS
evolved packet system
ESB
equal downlink received signal strength boundary
E-UTRA
evolved UTRA
FARL
fuzzy-assisted reinforcement learning
FCC
Federal Communications Commission
FDD
frequency division duplexing
FDTD
finite-difference time-domain
FFR
fractional frequency reuse
FFT
fast Fourier transform
FPC
fractional power control
FPGA
field-programmable gate array
FTP
file transfer protocol
FTTx
fiber to the x
GA
genetic algorithm
GBR
guaranteed bitrate
GCI
global cell identity
GNSS
global navigation satellite system
GP
genetic programming
GPON
gigabit passive optical network
GPS
global positioning system
GSM
global system for mobile communication
GTP
GPRS tunnel protocol
GTP-U
GPRS tunnel protocol—user plane
HARQ
hybrid automatic repeat request
HCN
heterogeneous cellular network
HetNet
heterogeneous network
HiFi
high-fidelity
HII
high-interference indicator
HO
handover
HOF
handover failure
HSB
hotspot boundary
HSDPA
high-speed downlink packet access
HSPA
high-speed packet access
HVAC
heating, ventilating, and air conditioning
ICIC
inter-cell interference coordination
ICT
information communication technology
IDFT
inverse discrete Fourier transform
IE
information element
IEEE
Institute of Electrical and Electronics Engineers
IFA
Inverted-F-antennas
IFFT
inverse fast Fourier transform
IIR
infinite impulse response
IOI
interference overload indicator
IP
Internet protocol
ISD
inter-site distance
ITU
International Telecommunication Union
JFI
Jain’s fairness index
KPI
key performance indicator
KNN
k
-nearest neighbors
LDA
linear discriminant analysis
LOS
line-of-sight
LPC
logical PDCCH candidate
LSAS
large-scale antenna system
LTE
long-term evolution
LTE-A
long-term evolution advanced
LUT
look-up table
MAC
medium access control
MBMS
multicast-broadcast multimedia service
MBSFN
multicast-broadcast single-frequency network
MCB
main circuit board
MCS
modulation and coding scheme
MCSR
multi-carrier soft reuse
MDT
minimization of drive tests
MEA
multi-element antenna
MeNodeB
Master eNodeB
MIESM
mutual information effective SINR mapping
MIMO
multiple-input multiple-output
MLB
mobility load balancing
MME
mobility management entity
MNO
mobile network operator
MPC
multi-path components
MR
measurement report
MRC
maximal ratio combining
MRO
mobility robustness optimization
MRT
maximum ratio transmission
MSE
mobility state estimation
MUE
macrocell user equipment
MU-MIMO
multi-user MIMO
MVNO
mobile virtual network operators
NACK
negative acknowledgment
NAS
nonaccess stratum
NB
Naive Bayes
NGMN
next-generation mobile networks
NLOS
non-line-of-sight
NN
nearest neighbor
OAM
operation, administration, and maintenance
ODA
omni-directional antenna
ODU
optical distribution unit
OFDM
orthogonal frequency division multiplexing
OFDMA
orthogonal frequency division multiple access
OFS
orthogonally filled subframe
OLT
optical line termination
OPEX
operational expenditure
OTT
over-the-top
PAPR
peak-to-average power ratio
PBCH
physical broadcast channel
PC
power control
PCB
printed circuit board
PCC
primary carrier component
PCell
primary cell
PCFICH
physical control format indicator channel
PCI
