Hiển thị ở chế độ nhân viên: Access Management in Joint Sensing and Communication Systems: Efficiency versus Fairness

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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Tác giả chính:	Thanh, Trung Nguyen, Khaled, Elbassioni, Nguyen, Cong Luong, Tao, Dusit Niyato, Dong, In Kim
Định dạng:	Bài trích
Ngôn ngữ:	English
Nhà xuất bản:	IEEE 2022
Chủ đề:	Sensors Resource management
Truy cập trực tuyến:	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
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score	8.891145

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

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