Self-Organizing Energy-Saving Management Mechanism Based on Pilot Power Adjustment in Cellular Networks

Joint Authors

Wenjing, Li
Xuesong, Qiu
Peng, Yu

Source

International Journal of Distributed Sensor Networks

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-10-21

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Telecommunications Engineering
Information Technology and Computer Science

Abstract EN

Little literature concentrates on effective and self-organizing regional energy-saving schemes in cellular networks with dynamic traffic.

In this paper, we propose a regional self-organizing energy-saving management mechanism through pilot power adjustment in cellular networks.

The mechanism analyzes autonomic processes for saving energy firstly.

Then, it proposes regional BS TP (Trigonal-Pair) compensation method to determine BS modes for saving energy.

Next, it adopts intelligent coverage compensation algorithm to adjust pilot power of compensated BSs, so as to avoid coverage hole and ensure enough capacity.

Integrated evaluation model is still proposed in the mechanism to validate efficiency of proposed algorithms.

Simulations show that about 17% of regional energy consumption can be saved.

In comparison to other ES methods, our ES mechanism can obtain better energy-saving outcomes and keep service quality and coverage above acceptable levels.

American Psychological Association (APA)

Peng, Yu& Wenjing, Li& Xuesong, Qiu. 2012. Self-Organizing Energy-Saving Management Mechanism Based on Pilot Power Adjustment in Cellular Networks. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-493394

Modern Language Association (MLA)

Peng, Yu…[et al.]. Self-Organizing Energy-Saving Management Mechanism Based on Pilot Power Adjustment in Cellular Networks. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-493394

American Medical Association (AMA)

Peng, Yu& Wenjing, Li& Xuesong, Qiu. Self-Organizing Energy-Saving Management Mechanism Based on Pilot Power Adjustment in Cellular Networks. International Journal of Distributed Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-493394

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-493394