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Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness

In this paper, we consider a distributed joint sensing and communication (DJSC) system in which each radar sensor as a JSC node is equipped with a sensing function and a communication function. Deploying multiple JSC nodes may require a large amount of bandwidth. Therefore, we investigate the bandwi...

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Main Authors: Trung Thanh, Nguyen, Khaled, Elbassioni, Nguyen, Cong Luong
Format: Bài trích
Language:English
Published: IEEE Transactions on Magnetics 2022
Subjects:
Joint sensing and communication
Bandwidth allocation
Online Access:https://ieeexplore.ieee.org/document/9721601/keywords#keywords
https://dlib.phenikaa-uni.edu.vn/handle/PNK/5890
https://doi.org/10.1109/tvt.2022.3153612
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spelling oai:localhost:PNK-58902022-08-17T05:54:55Z Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness Trung Thanh, Nguyen Khaled, Elbassioni Nguyen, Cong Luong Joint sensing and communication Bandwidth allocation In this paper, we consider a distributed joint sensing and communication (DJSC) system in which each radar sensor as a JSC node is equipped with a sensing function and a communication function. Deploying multiple JSC nodes may require a large amount of bandwidth. Therefore, we investigate the bandwidth allocation problem for the DJSC system. In particular, we aim to optimize the bandwidth allocation to the sensing function and the communication function of the JSC nodes. To improve the allocation efficiency while benefiting the spatial diversity advantage of the DJSC systems, the objective is to maximize the sum of sensing performances, i.e., estimation rates, communication performances, i.e., communication data rates, and fairness of all the users. The optimization problem is non-convex and difficult to be solved. For this, we propose a fully polynomial time approximation algorithm, and we prove that the approximation algorithm can guarantee a near-optimal solution with an accuracy bound of ϵ. Furthermore, we propose to use a heuristic algorithm with lower complexity. The simulation results show that both the proposed algorithms are able to achieve the solutions close to the optimum in a computationally efficient fashion. 2022-07-13T01:59:49Z 2022-07-13T01:59:49Z 2022 Bài trích https://ieeexplore.ieee.org/document/9721601/keywords#keywords https://dlib.phenikaa-uni.edu.vn/handle/PNK/5890 https://doi.org/10.1109/tvt.2022.3153612 en IEEE Transactions on Magnetics
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Joint sensing and communication
Bandwidth allocation
spellingShingle Joint sensing and communication
Bandwidth allocation
Trung Thanh, Nguyen
Khaled, Elbassioni
Nguyen, Cong Luong
Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness
description In this paper, we consider a distributed joint sensing and communication (DJSC) system in which each radar sensor as a JSC node is equipped with a sensing function and a communication function. Deploying multiple JSC nodes may require a large amount of bandwidth. Therefore, we investigate the bandwidth allocation problem for the DJSC system. In particular, we aim to optimize the bandwidth allocation to the sensing function and the communication function of the JSC nodes. To improve the allocation efficiency while benefiting the spatial diversity advantage of the DJSC systems, the objective is to maximize the sum of sensing performances, i.e., estimation rates, communication performances, i.e., communication data rates, and fairness of all the users. The optimization problem is non-convex and difficult to be solved. For this, we propose a fully polynomial time approximation algorithm, and we prove that the approximation algorithm can guarantee a near-optimal solution with an accuracy bound of ϵ. Furthermore, we propose to use a heuristic algorithm with lower complexity. The simulation results show that both the proposed algorithms are able to achieve the solutions close to the optimum in a computationally efficient fashion.
format Bài trích
author Trung Thanh, Nguyen
Khaled, Elbassioni
Nguyen, Cong Luong
author_facet Trung Thanh, Nguyen
Khaled, Elbassioni
Nguyen, Cong Luong
author_sort Trung Thanh, Nguyen
title Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness
title_short Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness
title_full Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness
title_fullStr Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness
title_full_unstemmed Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness
title_sort access management in joint sensing and communication systems: efficiency versus fairness
publisher IEEE Transactions on Magnetics
publishDate 2022
url https://ieeexplore.ieee.org/document/9721601/keywords#keywords
https://dlib.phenikaa-uni.edu.vn/handle/PNK/5890
https://doi.org/10.1109/tvt.2022.3153612
_version_ 1751856286387929088
score 8.891145

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