Energy efficient resource allocation for NOMA in cellular IoT with energy harvesting

Document Type

Conference Proceeding

Source of Publication

Proceedings - 2017 13th International Conference on Emerging Technologies, ICET2017

Publication Date

2-5-2018

Abstract

© 2017 IEEE. The Internet of Things (IoT) offers connectivity of massive low-power devices and sensors through the Internet which requires spectrum and energy efficient solutions. Recently, non-orthogonal multiple access (NOMA) has been investigated to address the challenges associated with spectral efficiency and dense deployment of a large number of devices in 5G cellular networks. Further, energy harvesting can enhance the energy efficiency of IoT devices. In this paper, we propose an energy-efficient resource allocation scheme for NOMA (EERA-NOMA) in cellular IoT with RF energy harvesting to address the above mentioned challenges. We model a framework to optimize user grouping of IoT devices in most appropriate resource blocks, power allocation, and time allocation for information transfer and energy harvesting. The objective is to maximize energy efficiency while satisfying constraints on the minimum data rate requirement of each user and transmit power. We adopted mesh adaptive direct search (MADS) algorithm to solve the formulated problem. Simulation results are presented to show the performance of proposed framework in comparison with existing work.

ISBN

9781538622605

Publisher

Institute of Electrical and Electronics Engineers Inc.

Volume

2018-January

First Page

1

Last Page

6

Disciplines

Computer Sciences

Keywords

Cellular networks, energy efficiency, Internet of Things, NOMA

Scopus ID

85050480438

Indexed in Scopus

yes

Open Access

no

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