IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Interference Mitigation and Energy Management in Heterogeneous Networks: A Cognitive Radio Perspective

Interference Mitigation and Energy Management in Heterogeneous Networks: A Cognitive Radio Perspective
View Sample PDF
Author(s): Chungang Yang (Xidian University, China)and Jiandong Li (Xidian University, China)
Copyright: 2014
Pages: 19
Source title: Convergence of Broadband, Broadcast, and Cellular Network Technologies
Source Author(s)/Editor(s): Ramona Trestian (Middlesex University, UK)and Gabriel-Miro Muntean (Dublin City University, Ireland)
DOI: 10.4018/978-1-4666-5978-0.ch006

Purchase

View Interference Mitigation and Energy Management in Heterogeneous Networks: A Cognitive Radio Perspective on the publisher's website for pricing and purchasing information.

Abstract

In Long Term Evolution (LTE) 4G systems, coexistence of multiple in-band smallcells defines what is called heterogeneous cellular networks. There is no doubt that the development of heterogeneous networks and the popularization of intelligent terminals facilitate subscribers with great convenience, better Quality of Experience (QoE) guarantee, and much higher traffic rate. However, interference management will be indispensable in heterogeneous networks. Meanwhile, with emerging various energy-hungry services of subscribers, energy-aware design attracts a wide attention. Motivated by interference mitigation and energy-saving challenges of the heterogeneous networks and the promising cognitive radio techniques, more advanced energy-saving and interference control techniques based on cognitive radio should be developed for better QoE. In this chapter, the authors first review cognitive radios, multiple types of smallcells, and introduce the benefits of cognitive radio-enabled heterogeneous networks. Then, focusing on the scheme design of cognitive interference management and energy management, finally, simulation results are provided to show the improved performance of these proposed cognitive schemes.

Related Content

Raquel Sánchez Ruiz, Isabel López Cirugeda. © 2024. 22 pages.
Rocío Luque-González, Inmaculada Marín-López, Mercedes Gómez-López. © 2024. 22 pages.
Bima Sapkota, Xuwei Luo, Muna Sapkota, Murat Akarsu, Emmanuel Deogratias, Daphne Fauber, Rose Mbewe, Fidelis Mumba, Ram Krishna Panthi, Jill Newton, JoAnn Phillion. © 2024. 34 pages.
Karen Collett, Alina Slapac, Sarah A. Coppersmith, Jingxin Cheng. © 2024. 29 pages.
Maria Ines Marino, Stephanie Tadal, Nurhayat Bilge. © 2024. 25 pages.
Jaqueline Naidoo, Noah Borrero. © 2024. 19 pages.
Crystal Machado, Tami Seifert. © 2024. 20 pages.
Body Bottom