In this paper, we propose an adaptive and multi-sector-based user clustering algorithm which
increases energy efficiency in a cellular network. Adaptive sectoring with dynamically changing
sector angles is illustrated with a number of randomly distributed mobile stations. Transmitted power
is equally shared by sectors before adaptive user clustering. The sector angles vary from 30 to 360
degrees by merging neighboring sectors and a sector is switched off till the user density exceeds a
threshold (Td). The Td value is computed from the total number of users that the cell can
accommodate over the area of the cell. The sectors with less than Td density exhibits transmit power
which approaches to zero or sleeping state and so that the cumulative power is saved. Simulation
results show that an average of 45% to 50% energy can be saved in 10 iterations.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/624220 |
| Date | 11 1900 |
| Creators | Kassa, Hailu Belay, Aredo, Shenko Chura, Menta, Estifanos Yohannes |
| Contributors | Astatke, Yacob, Moazzami, Farzad, Woldegebreal, Dereje H., Morgan State University, Department of Electrical and Computer Engineering, Hawassa University, School of Electrical and Computer Engineering, Institute of Technology, Addis Ababa University, School of Electrical and Computer Engineering |
| Publisher | International Foundation for Telemetering |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Proceedings |
| Rights | Copyright © held by the author; distribution rights International Foundation for Telemetering |
| Relation | http://www.telemetry.org/ |
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