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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5668
Title: Resource allocation and cell selection framework for LTE-Unlicensed femtocell networks
Authors: Thakur, Rahul
Kotagi V.J.
Murthy C.S.R.
Published in: Computer Networks
Abstract: The availability of enormous bandwidth in 5 GHz WiFi band has advocated its use for the LTE communication. For this, LTE-Unlicensed (LTE-U) technology is standardized in 3GPP Release 12. The use of coexistence mechanism such as Listen-Before-Talk (LBT) can help protecting the quality of service of mobile users operating in the WiFi band by guaranteeing them channel access. Additionally, allocation of wireless resources to each mobile user in the WiFi band should be controlled to facilitate interference-free transmissions to other mobile users in the same band. In this paper, we propose two resource allocation techniques for femtocell networks which efficiently allocate resources such as spectrum and transmit power among competing mobile users in the LTE and WiFi bands. For the LTE band, we propose the use of spreading based spectrum and power allocation, and model the throughput of femtocells using a non-cooperative game theoretic framework. To improve the co-existence performance of femtocells operating in the WiFi band, we propose a Q-leaning based resource allocation technique for femtocell transmit power and duty cycle calculation. In a scenario where multiple base stations are available for user-base station association, considering only the signal strength to make association decision is not an optimal approach, specially when user load and available resources at base stations vary significantly with time. Considering this, we suggest a cell selection scheme that assigns mobile users to femtocells considering the bitrate they are expected to receive in both LTE and WiFi bands. Our resource allocation techniques, when combined with the proposed cell selection scheme, show a minimum improvement of 23.4% in network throughput and 19.6% reduction in energy consumption. This, in turn, also improves the energy efficiency of the network by at least 35%. © 2017 Elsevier B.V.
Citation: Computer Networks (2017), 129(): 273-283
URI: https://doi.org/10.1016/j.comnet.2017.10.004
http://repository.iitr.ac.in/handle/123456789/5668
Issue Date: 2017
Publisher: Elsevier B.V.
Keywords: Cell selection
Energy efficiency
LTE-U femtocell network
Spectrum and power allocation
Spreading
ISSN: 13891286
Author Scopus IDs: 55839479800
57115487900
7102087090
Author Affiliations: Thakur, R., Department of Computer Science and Engineering, Indian Institute of Technology Madras, 600036, India
Kotagi, V.J., Department of Computer Science and Engineering, Indian Institute of Technology Madras, 600036, India
Murthy, C.S.R., Department of Computer Science and Engineering, Indian Institute of Technology Madras, 600036, India
Funding Details: This research work was supported by the Department of Science and Technology (DST), New Delhi, India. Rahul Thakur is currently pursuing his Ph.D. at Department of Computer Science & Engineering, Indian Institute of Technology Madras. He did his his Bachelor of Engineering (B.E.) in Computer Science from Barkatullah University, Bhopal in 2010. His main research interests include Green Cellular Networks and small cell communication, with focus on energy efficiency and self organizing networks. Vijeth J. Kotagi received the Bachelor of Engineering degree in Computer Science and Engineering from the Visvesvaraya Technological University, Belgaum, India in 2012. He is currently working toward his Ph.D. degree in the High Performance Computing and Networking Lab, Indian Institute of Technology Madras, Chennai, India. C. Siva Ram Murthy (F’12) received the B.Tech. degree in electronics and communication engineering from Regional Engineering College (now National Institute of Technology), Warangal, India, in 1982, the M.Tech. degree in computer engineering from the Indian Institute of Technology (IIT), Kharagpur, India, in 1984, and the Ph.D. degree in computer science from the Indian Institute of Science, Bangalore, India, in 1988. Since September 1988, he has been with the Department of Computer Science and Engineering, IIT Madras, Chennai, India, where he is currently the Richard Karp Institute Chair Professor. He has served as the Head (Chairman) of the Department from 2010 to 2013 and held the Indian National Academy of Engineering Chair Professorship during 2012–2014. He is a coauthor of the textbooks Parallel Computers: Architecture and Programming (New Delhi, Delhi: Prentice-Hall of India), New Parallel Algorithms for Direct Solution of Linear Equations (New York, NY, USA: Wiley), Resource Management in Real-time Systems and Networks (Cambridge, MA, USA: MIT Press), WDM Optical Networks: Concepts, Design, and Algorithms (Englewood Cliffs, NJ, USA: Prentice-Hall), An Analytical Approach to Optical Burst Switched Networks (New York, NY, USA: Springer), and Ad Hoc Wireless Networks: Architectures and Protocols (Englewood Cliffs, NJ, USA: Prentice-Hall). His research interests include wireless networks, lightwave networks, realtime systems, and parallel and distributed computing.
Corresponding Author: Thakur, R.; Department of Computer Science and Engineering, Indian Institute of Technology Madras, 600036, India; email: rahult@cse.iitm.ac.in
Appears in Collections:Journal Publications [CS]

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