5G Networks

5G Networks

Planning, Design and Optimization

1st Edition - August 20, 2018

Write a review

  • Author: Christofer Larsson
  • Paperback ISBN: 9780128127070
  • eBook ISBN: 9780128127087

Purchase options

Purchase options
Available
DRM-free (PDF, Mobi, EPub)
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order

Description

5G Networks: Planning, Design and Optimization presents practical methods and algorithms for the design of 5G Networks, covering issues ranging from network resilience to how Big Data analytics can used in network design optimization. The book addresses 5G optimization issues that are data driven, high dimensional and clustered. The reader will learn: 5G concepts, how they are linked and their effect on the architecture of a 5G network Models of 5G at a network level, including economic aspects of operating a network The economic implications of scale and service diversity, and the incentive for optimal design and operational strategies Network topologies from a transport to a cloud perspective Theoretic foundations for network design and network optimization Algorithms for practical design and optimization of 5G subsystems based on live network projects Efficient Bayesian methods for network analytics The trade-off and multi-objective character of QoS management and cost saving Practical traffic and resilience measurement and QoS supervision Frameworks for performance analytics and network control This book will be an invaluable resource for telecom operators and service providers, university researchers, graduate students and network planners interested in practical methods for optimizing networks for large performance improvements and cost savings. Christofer Larsson works as an independent researcher and consultant in network design traffic engineering, network performance evaluation and optimization.

Key Features

  • 5G concepts, how they are linked and their effect on the architecture of a 5G network
  • Models of 5G at a network level, including economic aspects of operating a network
  • The economic implications of scale and service diversity, and the incentive for optimal design and operational strategies
  • Network topologies from a transport to a cloud perspective
  • Theoretic foundations for network design and network optimization
  • Algorithms for practical design and optimization of 5G subsystems based on live network projects
  • Efficient Bayesian methods for network analytics
  • The trade-off and multi-objective character of QoS management and cost saving
  • Practical traffic and resilience measurement and QoS supervision
  • Frameworks for performance analytics and network control

Readership

Engineers and operational staff, from Telecom Operators (including Cloud and Xaas operators), academic researchers and postgraduate students in mobile communications

Table of Contents

  • Chapter 1. Concepts and Architectures in 5G

    Network Function Virtualization (NFV)

    Software Defined Networks (SDN)

    Cloudification

    Heterogeneous networks

    Internet of Things (IoT)

    Use Cases, Smart grids, cities and homes

    Big Data, Causes and implications

    Traffic self-similarity and long-range dependence

    Security and Integrity Protection

    Optimization problems in 5G

    Chapter 2. Clustering Techniques

    The use of clustering in design, optimization and data analysis; Complexity

    Cluster properties. Cluster quality measures: Performance, conductance and expansion

    Heuristic methods clustering

    k-Nearest Neighbor

    k-Means and k-Median

    Spectral clustering

    Iterative improvement

    Chapter 3 Facility Location and Assignment

    The facility location problem: Heuristic methods; A primal-dual algorithm

    Assignment and transportation problems, matching; Heuristic methods and approximations;

    Metaheuristics: Genetic Algorithms, Ant Colony Optimization

    Scheduling

    Chapter 4. Network Access

    General access, hierarchical networks; Aggreation, and last mile access

    Radio enhancing features; Self-Optimizing Networks (SON); Massive MIMO

    Capacitated minimum spanning trees: The algorithms by Essau-Williams and Sharma

    Steiner trees and stainer connectivity; Heuristic methods; The Dreifus-Wagner algorithm; The Robins-Zelikovsky algorithm

    Resilience in Radio Access Networks. A genetic algorithm for resilience improvement

    Centralized RAN (C-RAN), Location of baseband hotels, Maximization of radio network efficiency

    Chapter 5. Resilience and Optimal Routing

    Measuring resilience; Resilience as a network resource; Rare events

    N-k survivable networks, Bender's decomposition

    Steiner connectivity

    Simulating and estimating resilience

    Virtual Private Networks (VPNs)

    Resilient routing

    Multipath Label Switching (MPLS), The k-Shortest Path, Resilient routing of different traffic classes

    Software Defined WAN (SD-WAN)

    Chapter 6. Datacenters and Clouds

    Anything-as-a-Service (XaaS)

    Cost, resilience and optimality in cloud engineering

    Load balancing and assignment

    Optimal assignment of virtual machines; An algorithm based on Ant Colony Optimization

    Optimal job scheduling

    Software Tools: CloudSim

    Chapter 7. Self-Similar and Long-Range Dependent Traffic

    Self-similarity and long-range dependence

    Causes and effects on latency and jitter

    Detection of long-range dependence and self-similarity

    Wavelet analysis and simulation of self-similar traffic.

    The FARIMA and fractional Brownian motion models, analysis and forecasting

    Buffer sizing and traffic prioritization

    Chapter 8. Analytics and Big Data in 5G

    Generation of Big Data: data sources

    Data consistency and integrity

    Machine Learning techniques

    Approximate Bayesian Computation

    Metropolis-Hastings and the Gibbs sampler

    Analytics for network Key Performance Indicators

    Monitoring of Quality of Service

    Data mining for network management: fault management, performance management and configuration management

    Chapter 9. Network and Service Control

    Smart grids, cities and homes; Policies and control

    Stochastic optimal control and its applications

    Filtering and forecasting

    Inverse problems, Regularization

    Quality of Service enforcement

    Markovian control

    Dynamic programming

    +Chapter 10. Network Slicing

    Use Cases and Service Level Agreements (SLA); Examples of Massive and critical services

    Orchestration: Fairness, SLA enforcement and cost optimization; Resource allocation on different time scales

    Multi-objective optimization: QoS and cost for use cases

    Mobility models

    Resource allocation; Two-step resource optimization: static and dynamic resource mapping

    Monitoring of performance and QoS, and control of network slices

Product details

  • No. of pages: 418
  • Language: English
  • Copyright: © Academic Press 2018
  • Published: August 20, 2018
  • Imprint: Academic Press
  • Paperback ISBN: 9780128127070
  • eBook ISBN: 9780128127087

About the Author

Christofer Larsson

Christofer Larsson is a consultant in network design and traffic engineering, having worked for Ericsson for a decade. He holds an MSc in Engineering Physics from the Royal Institute of Technology, Stockholm, Sweden.

Affiliations and Expertise

Consultant in telecommunication solution engineering, network design and dimensioning, traffic engineering, network performance evaluation and optimization

Ratings and Reviews

Write a review

Latest reviews

(Total rating for all reviews)

  • AndréGrce Fri Jan 18 2019

    5G Networks by Christofer Larsson

    Relevant design and planning 5G considerations are examined. Solutions to related challenges are presented with the scientific depth they require. André Grce CEO of Netonomics