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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5674
Title: Breathe to Save Energy: Assigning Downlink Transmit Power and Resource Blocks to LTE Enabled IoT Networks
Authors: Kotagi V.J.
Thakur, Rahul
Mishra S.
Murthy C.S.R.
Published in: IEEE Communications Letters
Abstract: Undoubtedly, the Internet of Things (IoT) is the next big revolution in the field of wireless communication networks. IoT is an invisible network, which connects the physical world to the virtual world. Seamless Internet connectivity is essential between these two worlds for IoT to become a reality. In this aspect, long-term evolution advanced (LTE-A) is a promising technology, which meets the requirements of IoT. However, an exponential increase in the number of IoT devices will increase the energy consumption at base stations in LTE-A. Therefore, in this letter, we study the downlink energy efficiency aspect of LTE-A in the IoT networks. We propose a power control and resource block allocation scheme called breathing for an IoT network. Simulation results have shown that breathing performs better than the traditional maximum power allocation scheme and greedy power reduction scheme in terms of energy efficiency, system throughput, and system blocking. © 2016 IEEE.
Citation: IEEE Communications Letters (2016), 20(8): 1607-1610
URI: https://doi.org/10.1109/LCOMM.2016.2570224
http://repository.iitr.ac.in/handle/123456789/5674
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: energy efficiency
Femto cell assisted cellular network
internet of things
LTE
resource block allocation
ISSN: 10897798
Author Scopus IDs: 57115487900
55839479800
56022179200
7102087090
Author Affiliations: Kotagi, V.J., Department of Computer Science and Engineering, IIT Madras, Chennai, 600036, India
Thakur, R., Department of Computer Science and Engineering, IIT Madras, Chennai, 600036, India
Mishra, S., Department of Computer Science and Engineering, IIT Madras, Chennai, 600036, India
Murthy, C.S.R., Department of Computer Science and Engineering, IIT Madras, Chennai, 600036, India
Appears in Collections:Journal Publications [CS]

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