BOOK-CHAPTER

Traffic offloading scenarios for heterogeneous networks

Adrian KliksNikos DimitriouAndreas ZalonisOliver Holland

Year: 2015 Cambridge University Press eBooks Pages: 122-147   Publisher: Cambridge University Press

Abstract

This chapter considers the challenges faced by network operators and service providers accommodating the increasing traffic demands in cellular networks in the most efficient yet inexpensive way. It proposes that these challenges are addressed by offloading part of the traffic to femto cell access points (FAPs) and WiFi access points (WiFiAPs). Whereas 4G micro and pico cell base stations are assumed to be managed by the network operator in terms of setup and maintenance, FAPs and WiFiAPs are normally bought and operated by the end-user. The main difference between these two solutions is that the FAPs operate on the frequency bands assigned to the network operator by national regulators, while WiFiAPs work on unlicensed spectrum. This chapter analyzes the pros and cons of such approaches, and the tradeoffs related to the different mechanisms employed in cellular and WiFi networks for interference management. Moreover, various methods for traffic offloading by the mobile network operator are discussed in detail, including local IP access (LIPA), selective IP traffic offloading (SIPTO), IP flow mobility (IFOM), access network discovery and selection function (ANDSF), and Hotspot 2.0, etc. In the experimental part of this chapter, means for traffic management from the network operator's perspective are discussed, taking into account costs and energy savings. Furthermore, a novel resource usage coordination concept in conjunction with the WiFi offloading concept is presented.

Keywords:
Computer network Femtocell Cellular network Computer science Access network discovery and selection function Mobile broadband Access network Service provider Base station Service (business) Radio access network Telecommunications Wireless

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
39
Refs
0.39
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

Related Documents

BOOK-CHAPTER

Traffic Offloading in Heterogeneous Networks

Jun DuChunxiao Jiang

Wireless networks Year: 2022 Pages: 17-44
BOOK-CHAPTER

Traffic Offloading in Heterogeneous Cellular Networks

Yuan WuLiping QianJianwei HuangXuemin Shen

Springer briefs in electrical and computer engineering Year: 2017 Pages: 1-16
JOURNAL ARTICLE

Energy-Aware Traffic Offloading for Green Heterogeneous Networks

Shan ZhangNing ZhangSheng ZhouJie GongZhisheng NiuXuemin Shen

Journal:   IEEE Journal on Selected Areas in Communications Year: 2016 Vol: 34 (5)Pages: 1116-1129
© 2026 ScienceGate Book Chapters — All rights reserved.