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Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays
Wireless distributed storage is beneficial in the provision of reliable content storage and offloading of cellular traffic. In this paper, we consider a cellular device-to-device (D2D) underlay-based wireless distributed storage system, in which the minimum storage regenerating (MSR) coding combined...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659575/ https://www.ncbi.nlm.nih.gov/pubmed/34884061 http://dx.doi.org/10.3390/s21238059 |
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author | Han, Fengxia Deng, Hao Shi, Jianfeng Jiang, Hao |
author_facet | Han, Fengxia Deng, Hao Shi, Jianfeng Jiang, Hao |
author_sort | Han, Fengxia |
collection | PubMed |
description | Wireless distributed storage is beneficial in the provision of reliable content storage and offloading of cellular traffic. In this paper, we consider a cellular device-to-device (D2D) underlay-based wireless distributed storage system, in which the minimum storage regenerating (MSR) coding combined with the partial downloading scheme is employed. To alleviate burdens on insufficient cellular resources and improve spectral efficiency in densely deployed networks, multiple storage devices can simultaneously use the same uplink cellular subchannel under the non-orthogonal multiple access (NOMA) protocol. Our objective is to minimize the total transmission power for content reconstruction, while guaranteeing the signal-to-interference-plus-noise ratio (SINR) constraints for cellular users by jointly optimizing power and subchannel allocation. To tackle the non-convex combinational program, we decouple the original problem into two subproblems and propose two low-complexity algorithms to efficiently solve them, followed by a joint optimization, implemented by alternately updating the solutions to each subproblem. The numerical results illustrate that our proposed algorithms are capable of performing an exhaustive search with lower computation complexity, and the NOMA-enhanced scheme provides more transmission opportunities for neighbor storage devices, thus significantly reducing the total power consumption. |
format | Online Article Text |
id | pubmed-8659575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86595752021-12-10 Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays Han, Fengxia Deng, Hao Shi, Jianfeng Jiang, Hao Sensors (Basel) Article Wireless distributed storage is beneficial in the provision of reliable content storage and offloading of cellular traffic. In this paper, we consider a cellular device-to-device (D2D) underlay-based wireless distributed storage system, in which the minimum storage regenerating (MSR) coding combined with the partial downloading scheme is employed. To alleviate burdens on insufficient cellular resources and improve spectral efficiency in densely deployed networks, multiple storage devices can simultaneously use the same uplink cellular subchannel under the non-orthogonal multiple access (NOMA) protocol. Our objective is to minimize the total transmission power for content reconstruction, while guaranteeing the signal-to-interference-plus-noise ratio (SINR) constraints for cellular users by jointly optimizing power and subchannel allocation. To tackle the non-convex combinational program, we decouple the original problem into two subproblems and propose two low-complexity algorithms to efficiently solve them, followed by a joint optimization, implemented by alternately updating the solutions to each subproblem. The numerical results illustrate that our proposed algorithms are capable of performing an exhaustive search with lower computation complexity, and the NOMA-enhanced scheme provides more transmission opportunities for neighbor storage devices, thus significantly reducing the total power consumption. MDPI 2021-12-02 /pmc/articles/PMC8659575/ /pubmed/34884061 http://dx.doi.org/10.3390/s21238059 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Han, Fengxia Deng, Hao Shi, Jianfeng Jiang, Hao Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays |
title | Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays |
title_full | Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays |
title_fullStr | Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays |
title_full_unstemmed | Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays |
title_short | Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays |
title_sort | joint power and subchannel allocation for distributed storage in cellular-d2d underlays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659575/ https://www.ncbi.nlm.nih.gov/pubmed/34884061 http://dx.doi.org/10.3390/s21238059 |
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