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

Sähkötekniikka

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

2 Sitaatiot (Scopus)

7 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	ISACom 2023 - Proceedings of the 2nd Workshop on Integrated Sensing and Communications for Metaverse, Part of MobiSys 2023
Kustantaja	ACM
Sivut	30-35
Sivumäärä	6
ISBN (elektroninen)	979-8-4007-0215-0
DOI - pysyväislinkit	https://doi.org/10.1145/3597065.3597452
Tila	Julkaistu - kesäk. 2023
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	Workshop on Integrated Sensing and Communications for Metaverse - Helsinki, Suomi Kesto: 18 kesäk. 2023 → 18 kesäk. 2023

Conference

Conference	Workshop on Integrated Sensing and Communications for Metaverse
Maa/Alue	Suomi
Kaupunki	Helsinki
Ajanjakso	18/06/23 → 18/06/23

Rahoitus

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.

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems

Pääsy asiakirjaan

10.1145/3597065.3597452Lisenssi: CC BY

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

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

Siteeraa tätä

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. teoksessa ISACom 2023 - Proceedings of the 2nd Workshop on Integrated Sensing and Communications for Metaverse, Part of MobiSys 2023 (Sivut 30-35). ACM. https://doi.org/10.1145/3597065.3597452

@inproceedings{70271c200fd4416587daa8cd15aeb94f,

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",

year = "2023",

month = jun,

doi = "10.1145/3597065.3597452",

language = "English",

pages = "30--35",

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

publisher = "ACM",

address = "United States",

}

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. julkaisussa ISACom 2023 - Proceedings of the 2nd Workshop on Integrated Sensing and Communications for Metaverse, Part of MobiSys 2023. ACM, Sivut 30-35, Workshop on Integrated Sensing and Communications for Metaverse, Helsinki, Suomi, 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. s. 30-35.

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse

AU - Ashraf, Mateen

AU - Gaydamaka, Anna

AU - Moltchanov, Dmitri

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).

PY - 2023/6

Y1 - 2023/6

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

U2 - 10.1145/3597065.3597452

DO - 10.1145/3597065.3597452

M3 - Conference contribution

AN - SCOPUS:85164283754

SP - 30

EP - 35

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

PB - ACM

T2 - Workshop on Integrated Sensing and Communications for Metaverse

Y2 - 18 June 2023 through 18 June 2023

ER -

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

Abstrakti

Conference

Rahoitus

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

Siteeraa tätä