5G Networks - 1st Edition - ISBN: 9780128127070

5G Networks

1st Edition

Planning, Design and Optimization

Authors: Christofer Larsson
Paperback ISBN: 9780128127070
Imprint: Academic Press
Published Date: 1st August 2018
Page Count: 475
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5G Networks: Planning, Design and Optimization presents practical methods and algorithms for the design of 5G Networks. It covers issues ranging from network resilience, to how Big Data analytics can be used in network design optimization. The book addresses 5G optimization issues that are data driven, high dimensional and clustered. Readers will learn about 5G concepts and how they are linked and affect the operation of a 5G network, the network topology from a transport and cloud perspective, the large economic effects of scale and service diversity, the multi-objective character of enforcing QoS, and algorithms for network design and network optimization.

In addition, methods for performance analytics and network control, and planning, design and optimization sections will be an invaluable resource for telecom operators, service providers, university researchers, graduate students and planning consultants who need practical methods for optimizing a network that has the potential to make large cost savings.

Key Features

  • Describes 5G at a network level, including the economic aspects of its operation
  • Includes algorithms for practical design, along with optimization problems related to 5G that are based on trial projects
  • Presents efficient Bayesian methods for network analytics
  • Covers traffic measurement, QoS supervision and SLA enforcement


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)


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


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


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© Academic Press 2018
Academic Press
Paperback ISBN:

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

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