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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5667
Title: An Energy Efficient Cell Selection Framework for Femtocell Networks with Limited Backhaul Link Capacity
Authors: Thakur, Rahul
Swain S.N.
Murthy C.S.R.
Published in: IEEE Systems Journal
Abstract: Dense deployment of femtocells improves the network capacity without significantly burdening the operator with huge capital and operational expenditure. However, extremely dense deployment of femtocells comes with the cost of increased cochannel interference and higher energy consumption. Additionally, femtocells burden the existing ADSL/broadband lines by using them as backhaul to connect to the cellular core network. A cell selection scheme defines the criteria on which mobile users associate themselves with base stations. This criteria may include received signal quality, available bandwidth, and energy consumption. Hence, cell selection plays a crucial role in system capacity, load balancing, and energy consumption. In this paper, we provide a framework for femtocell deployment in the urban scenario where interference, energy consumption, and backhaul capacity are major concerns. We first model the energy consumption of base stations, user equipment, and wired backhaul links. Then, we propose an efficient spectrum and power allocation technique to mitigate interference and improve bandwidth utilization in the uplink and downlink, respectively. Finally, we suggest a novel QoS-aware cell selection scheme that assigns mobile users to femtocells considering the capacity improvement obtained per unit increase in energy consumption. The proposed cell selection scheme incorporates the energy consumption of the wired backhaul links and their limited capacity constraint into the cell selection criteria. Our proposed spectrum and power allocation technique, when combined with the proposed cell selection, leads to a significant reduction in energy consumption without any deterioration in the system capacity. Simulation results confirm that our proposed framework has the potential to significantly improve the energy efficiency of the network. © 2017 IEEE.
Citation: IEEE Systems Journal (2018), 12(2): 1969-1980
URI: https://doi.org/10.1109/JSYST.2017.2657803
http://repository.iitr.ac.in/handle/123456789/5667
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Backhaul constraint
cell selection
energy efficiency
Femto-assisted cellular network
power spreading
ISSN: 19328184
Author Scopus IDs: 55839479800
57114320700
7102087090
Author Affiliations: Thakur, R., Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India
Swain, S.N., Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India
Murthy, C.S.R., Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India
Appears in Collections:Journal Publications [CS]

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