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      Resource Management in Energy Harvesting Cooperative IoT Network under QoS Constraints

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          Abstract

          Cooperative communication with RF energy harvesting relays has emerged as a promising technique to improve the reliability, coverage, longevity and capacity of future IoT networks. An efficient relay assignment with proper power allocation and splitting is required to satisfy the network’s QoS requirements. This work considers the resource management problem in decode and forward relay based cooperative IoT network. A realistic mathematical model is proposed for joint user admission, relay assignment, power allocation and splitting ratio selection problem. The optimization problem is a mixed integer non-linear problem (MINLP) whose objective is to maximize the overall sum rate (bps) while satisfying the practical network constraints. Further, an outer approximation algorithm is adopted which provides epsilon-optimal solution to the problem with guaranteed convergence and reasonable complexity. Simulations of the proposed solution are carried out for various network scenarios. The simulation results demonstrate that cooperative communication with diversity achieves a better admission of IoT users and increases not only their individual data rates but also the overall sum rate of an IoT network.

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          Most cited references35

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          MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

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            Wireless Networks With RF Energy Harvesting: A Contemporary Survey

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              Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                20 October 2018
                October 2018
                : 18
                : 10
                : 3560
                Affiliations
                [1 ]Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantonment 47040, Pakistan; malihaamjad@ 123456ciitwah.edu.pk (M.A.); ashfaqahmed@ 123456ciitwah.edu.pk (A.A.); mnaeem@ 123456ciitwah.edu.pk (M.N.); muhammadawais@ 123456ciitwah.edu.pk (M.A.)
                [2 ]Department of Applied Science & Engineering, Thompson Rivers University (TRU), Kamloops, BC V2C 0C8, Canada; waleed.ejaz@ 123456ieee.org
                [3 ]Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
                Author notes
                [* ]Correspondence: alagan@ 123456ee.ryerson.ca
                Author information
                https://orcid.org/0000-0003-3791-4140
                https://orcid.org/0000-0003-3791-4140
                https://orcid.org/0000-0002-6289-1406
                Article
                sensors-18-03560
                10.3390/s18103560
                6210577
                30347839
                d47f72d4-d20d-4932-a88b-ba8c718fbfee
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 26 September 2018
                : 17 October 2018
                Categories
                Article

                Biomedical engineering
                energy harvesting,iot,resource management,cooperative communication
                Biomedical engineering
                energy harvesting, iot, resource management, cooperative communication

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