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: Thanh, Trung Nguyen, Khaled, Elbassioni, Nguyen, Cong Luong, Tao, Dusit Niyato, Dong, In Kim
Format: Bài trích
Language:English
Published: IEEE 2022
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Online Access:https://ieeexplore.ieee.org/document/9721601/keywords#keywords
https://dlib.phenikaa-uni.edu.vn/handle/PNK/5748
https://doi.org/10.1109/TVT.2022.3153612
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spelling oai:localhost:PNK-57482022-08-17T05:54:52Z Access Management in Joint Sensing and Communication Systems: Efficiency versus Fairness Thanh, Trung Nguyen Khaled, Elbassioni Nguyen, Cong Luong Tao, Dusit Niyato Dong, In Kim Sensors Resource management 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 2022-05-05T07:26:17Z 2022-05-05T07:26:17Z 2022 Bài trích https://ieeexplore.ieee.org/document/9721601/keywords#keywords https://dlib.phenikaa-uni.edu.vn/handle/PNK/5748 https://doi.org/10.1109/TVT.2022.3153612 en IEEE
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Sensors
Resource management
spellingShingle Sensors
Resource management
Thanh, Trung Nguyen
Khaled, Elbassioni
Nguyen, Cong Luong
Tao, Dusit Niyato
Dong, In Kim
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 Thanh, Trung Nguyen
Khaled, Elbassioni
Nguyen, Cong Luong
Tao, Dusit Niyato
Dong, In Kim
author_facet Thanh, Trung Nguyen
Khaled, Elbassioni
Nguyen, Cong Luong
Tao, Dusit Niyato
Dong, In Kim
author_sort Thanh, Trung 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
publishDate 2022
url https://ieeexplore.ieee.org/document/9721601/keywords#keywords
https://dlib.phenikaa-uni.edu.vn/handle/PNK/5748
https://doi.org/10.1109/TVT.2022.3153612
_version_ 1751856281075843072
score 8.891145