Improving energy efficiency in 5G ultra-dense networks

Dissertant

Daas, Mushir Jamal

Thesis advisor

Jibran, Muhammad
Husayn, Muhammad

University

Birzeit University

Faculty

Faculty of Engineering and Technology

University Country

Palestine (West Bank)

Degree

Master

Degree Date

2018

English Abstract

Next generation 5G networks specifications are being developed with high promised capabilities, the aim is to have higher user throughput, better energy and spectrum efficiency, less latency, and to serve the huge number of candidate users and Internet of Things (IoT).

It is expected that 5G radio networks will strongly depend on using ultra-dense small cells beside the macro base stations.

This topology will overcome problems of coverage-holes due to millimeter-wave signals, demanded user throughput and high number of attached users.

This kind of ultra-dense networks (UDN) consisting of large number of macro and small cells will significantly increase network power requirements.

A practical method to control energy consumption is by dynamically controlling power saving mode in radio network.

In this thesis, a cooperative energy management algorithm for 5G UDN model is developed, such that the overall energy consumption is reduced while maintaining network coverage and user demanded quality of service.

The mobile network is modeled as a graph; this model allows using graph theory properties to build energy optimization algorithm.

Graph connectivity is an important measure to guarantee continued radio coverage, design algorithm secures network connectivity and measures it through algebraic connectivity.

This work introduces a novel power saving algorithm for such multi-layer, multi-band heterogeneous UDN using power off/on method.

The algorithm is self maintained and works using centralized management database without additional complexity in network architecture.

The proposed algorithm achieves power saving up to 21% in daily peak time, and 60% in off-peak time coming from energy saved on macro and small cells, beside the connecting backbone links.

To validate the effectiveness of the proposed algorithm, a random network model is developed using Matlab, and several experiments are simulated to test the robustness of the design algorithm.

Main Subjects

Electronic engineering

Topics

• Internet

No. of Pages

58

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-889350