Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse

Mateen Ashraf; Anna Gaydamaka; Dmitri Moltchanov; Abdullahi Mohammad; Bo Tan

doi:10.1145/3597065.3597452

Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse

Mateen Ashraf
, Anna Gaydamaka
, Dmitri Moltchanov
, Abdullahi Mohammad
, Bo Tan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

17 Downloads (Pure)

Abstract

The rise of immersive communication due to virtual reality (VR), augmented reality (AR) and mixed reality (MR) has imposed stringent requirements on the wireless communication systems. A basic requirement imposed by VR/AR/MR environments (in a Metaverse) on the communication system is the sensing ability. Therefore, integrated sensing and communication (ISAC) systems are considered an integral part of the Metaverse. In order to improve the sensing functionality of the ISAC system within the Metaverse, this paper proposes an iterative optimization algorithm to solve non-convex signal to clutter plus noise ratio (SCNR) maximization problem when the target direction is uncertain. Simulation results demonstrate that the effectiveness of the proposed algorithm as compared to the existing schemes which assume apriori information about the target direction.

Original language	English
Title of host publication	ISACom 2023 - Proceedings of the 2nd Workshop on Integrated Sensing and Communications for Metaverse, Part of MobiSys 2023
Publisher	ACM
Pages	30-35
Number of pages	6
ISBN (Electronic)	979-8-4007-0215-0
DOIs	https://doi.org/10.1145/3597065.3597452
Publication status	Published - Jun 2023
Publication type	A4 Article in conference proceedings
Event	Workshop on Integrated Sensing and Communications for Metaverse - Helsinki, Finland Duration: 18 Jun 2023 → 18 Jun 2023

Conference

Conference	Workshop on Integrated Sensing and Communications for Metaverse
Country/Territory	Finland
City	Helsinki
Period	18/06/23 → 18/06/23

Funding

This work was supported by the Academy of Finland ACCESS project: Autonomous Communication Converged with Efficient Sensing for UAV Swarms, Project No. 339519, Business Finland Project: 5G-PSS, and H2020 MSCA RISE project: DIOR (Peoject No: 101008280, DIOR: Deep Intelligent Optical and Radio Communication Networks.

Keywords

detection probability
integrated sensing and communication
resource allocation

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems

Access to Document

10.1145/3597065.3597452Licence: CC BY

Maximizing Detection of TargetFinal published version, 646 KBLicence: CC BY

https://urn.fi/URN:NBN:fi:tuni-202309047936Licence: CC BY

Cite this

Ashraf, M., Gaydamaka, A., Moltchanov, D., Mohammad, A., & Tan, B. (2023). Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse. In ISACom 2023 - Proceedings of the 2nd Workshop on Integrated Sensing and Communications for Metaverse, Part of MobiSys 2023 (pp. 30-35). ACM. https://doi.org/10.1145/3597065.3597452

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title = "Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse",

abstract = "The rise of immersive communication due to virtual reality (VR), augmented reality (AR) and mixed reality (MR) has imposed stringent requirements on the wireless communication systems. A basic requirement imposed by VR/AR/MR environments (in a Metaverse) on the communication system is the sensing ability. Therefore, integrated sensing and communication (ISAC) systems are considered an integral part of the Metaverse. In order to improve the sensing functionality of the ISAC system within the Metaverse, this paper proposes an iterative optimization algorithm to solve non-convex signal to clutter plus noise ratio (SCNR) maximization problem when the target direction is uncertain. Simulation results demonstrate that the effectiveness of the proposed algorithm as compared to the existing schemes which assume apriori information about the target direction.",

keywords = "detection probability, integrated sensing and communication, resource allocation",

author = "Mateen Ashraf and Anna Gaydamaka and Dmitri Moltchanov and Abdullahi Mohammad and Bo Tan",

note = "Funding Information: This work was supported by the Academy of Finland ACCESS project: Autonomous Communication Converged with Efficient Sensing for UAV Swarms, Project No. 339519, Business Finland Project: 5G-PSS, and H2020 MSCA RISE project: DIOR (Peoject No: 101008280, DIOR: Deep Intelligent Optical and Radio Communication Networks. Publisher Copyright: {\textcopyright} 2023 Owner/Author(s).; Workshop on Integrated Sensing and Communications for Metaverse ; Conference date: 18-06-2023 Through 18-06-2023",

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doi = "10.1145/3597065.3597452",

language = "English",

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booktitle = "ISACom 2023 - Proceedings of the 2nd Workshop on Integrated Sensing and Communications for Metaverse, Part of MobiSys 2023",

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Ashraf, M, Gaydamaka, A, Moltchanov, D, Mohammad, A & Tan, B 2023, Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse. in ISACom 2023 - Proceedings of the 2nd Workshop on Integrated Sensing and Communications for Metaverse, Part of MobiSys 2023. ACM, pp. 30-35, Workshop on Integrated Sensing and Communications for Metaverse, Helsinki, Finland, 18/06/23. https://doi.org/10.1145/3597065.3597452

Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse. / Ashraf, Mateen; Gaydamaka, Anna; Moltchanov, Dmitri et al.
ISACom 2023 - Proceedings of the 2nd Workshop on Integrated Sensing and Communications for Metaverse, Part of MobiSys 2023. ACM, 2023. p. 30-35.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Mohammad, Abdullahi

AU - Tan, Bo

N1 - Funding Information: This work was supported by the Academy of Finland ACCESS project: Autonomous Communication Converged with Efficient Sensing for UAV Swarms, Project No. 339519, Business Finland Project: 5G-PSS, and H2020 MSCA RISE project: DIOR (Peoject No: 101008280, DIOR: Deep Intelligent Optical and Radio Communication Networks. Publisher Copyright: © 2023 Owner/Author(s).

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N2 - The rise of immersive communication due to virtual reality (VR), augmented reality (AR) and mixed reality (MR) has imposed stringent requirements on the wireless communication systems. A basic requirement imposed by VR/AR/MR environments (in a Metaverse) on the communication system is the sensing ability. Therefore, integrated sensing and communication (ISAC) systems are considered an integral part of the Metaverse. In order to improve the sensing functionality of the ISAC system within the Metaverse, this paper proposes an iterative optimization algorithm to solve non-convex signal to clutter plus noise ratio (SCNR) maximization problem when the target direction is uncertain. Simulation results demonstrate that the effectiveness of the proposed algorithm as compared to the existing schemes which assume apriori information about the target direction.

AB - The rise of immersive communication due to virtual reality (VR), augmented reality (AR) and mixed reality (MR) has imposed stringent requirements on the wireless communication systems. A basic requirement imposed by VR/AR/MR environments (in a Metaverse) on the communication system is the sensing ability. Therefore, integrated sensing and communication (ISAC) systems are considered an integral part of the Metaverse. In order to improve the sensing functionality of the ISAC system within the Metaverse, this paper proposes an iterative optimization algorithm to solve non-convex signal to clutter plus noise ratio (SCNR) maximization problem when the target direction is uncertain. Simulation results demonstrate that the effectiveness of the proposed algorithm as compared to the existing schemes which assume apriori information about the target direction.

KW - detection probability

KW - integrated sensing and communication

KW - resource allocation

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ER -

Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse

Abstract

Conference

Funding

Keywords

Publication forum classification

ASJC Scopus subject areas

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Cite this