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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15630
Title: A load-conscious cell selection scheme for femto-assisted cellular networks
Authors: Thakur R.
Mishra S.
Murthy C.S.R.
Published in: Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Abstract: To improve benefits of macrocell offloading in femto-assisted cellular networks, concept of cell biasing has been proposed. Cell biasing attempts to offload users from macrocell by modifying cell selection criteria. This is done by adding a positive bias to the measured signal from femtocells before performing cell selection. While the macrocell offloaded users may experience lower signal quality from femtocells, they are benefited by receiving higher bandwidth. From users' point of view, it is desirable that user equipments receive highest possible bitrate from the target base station. However, cell biasing only considers received signal strength to make cell selection decisions. The bitrate received at a user equipment is directly proportional to available bandwidth and user load at target base station. In this paper, we propose an enhanced cell selection scheme that considers scheduling opportunities available at femtocell by analyzing the current load and femtocell specific constraints such as maximum user count and minimum signal strength. Obtained results show that our work provides the best performance in terms of both system throughput and energy efficiency among all compared cell selection schemes. © 2013 IEEE.
Citation: Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, (2013), 2378- 2382. London
URI: https://doi.org/10.1109/PIMRC.2013.6666543
http://repository.iitr.ac.in/handle/123456789/15630
Issue Date: 2013
Keywords: Available bandwidth
Cellular network
Macrocell offloading
Measured signals
Received signal strength
Signal strengths
System throughput
User equipments
Bandwidth
Base stations
Cells
Energy efficiency
Femtocell
Cytology
ISBN: 9781467362351
Author Scopus IDs: 55839479800
56022179200
7102087090
Author Affiliations: Thakur, R., Indian Institute of Technology, Madras, India
Mishra, S., Indian Institute of Technology, Madras, India
Murthy, C.S.R., Indian Institute of Technology, Madras, India
Corresponding Author: Indian Institute of Technology, Madras, India
Appears in Collections:Conference Publications [CS]

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