Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication

Kofi A. Ofori-Amanfo; Derek K.P. Asiedu; Samir Saoudi; Ji Hoon Yun

doi:10.1109/ICTC62082.2024.10827565

Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication

Kofi A. Ofori-Amanfo
, Derek K.P. Asiedu
, Samir Saoudi
, Ji Hoon Yun

Dept. of Electrical and Information Engineering

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

Abstract

We develop a symbiotic operation framework of primary downlink vehicular communication using rate-splitting multiple access (RSMA) and secondary backscatter communication of an intelligent reflecting surface (IRS). The framework employs alternating optimization for resource allocation, considering channel estimation errors caused by vehicular mobility.

Original language	English
Title of host publication	ICTC 2024 - 15th International Conference on ICT Convergence
Subtitle of host publication	AI-Empowered Digital Innovation
Publisher	IEEE Computer Society
Pages	1169-1170
Number of pages	2
ISBN (Electronic)	9798350364637
DOIs	https://doi.org/10.1109/ICTC62082.2024.10827565
State	Published - 2024
Event	15th International Conference on Information and Communication Technology Convergence, ICTC 2024 - Jeju Island, Korea, Republic of Duration: 16 Oct 2024 → 18 Oct 2024

Publication series

Name	International Conference on ICT Convergence
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	15th International Conference on Information and Communication Technology Convergence, ICTC 2024
Country/Territory	Korea, Republic of
City	Jeju Island
Period	16/10/24 → 18/10/24

Keywords

backscatter communication
intelligent reflecting surface (IRS)
rate splitting multiple access (RSMA)

Access to Document

10.1109/ICTC62082.2024.10827565

Cite this

Ofori-Amanfo, K. A., Asiedu, D. K. P., Saoudi, S., & Yun, J. H. (2024). Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication. In ICTC 2024 - 15th International Conference on ICT Convergence: AI-Empowered Digital Innovation (pp. 1169-1170). (International Conference on ICT Convergence). IEEE Computer Society. https://doi.org/10.1109/ICTC62082.2024.10827565

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title = "Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication",

abstract = "We develop a symbiotic operation framework of primary downlink vehicular communication using rate-splitting multiple access (RSMA) and secondary backscatter communication of an intelligent reflecting surface (IRS). The framework employs alternating optimization for resource allocation, considering channel estimation errors caused by vehicular mobility.",

keywords = "backscatter communication, intelligent reflecting surface (IRS), rate splitting multiple access (RSMA)",

author = "Ofori-Amanfo, \{Kofi A.\} and Asiedu, \{Derek K.P.\} and Samir Saoudi and Yun, \{Ji Hoon\}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 15th International Conference on Information and Communication Technology Convergence, ICTC 2024 ; Conference date: 16-10-2024 Through 18-10-2024",

year = "2024",

doi = "10.1109/ICTC62082.2024.10827565",

language = "English",

series = "International Conference on ICT Convergence",

publisher = "IEEE Computer Society",

pages = "1169--1170",

booktitle = "ICTC 2024 - 15th International Conference on ICT Convergence",

}

Ofori-Amanfo, KA, Asiedu, DKP, Saoudi, S & Yun, JH 2024, Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication. in ICTC 2024 - 15th International Conference on ICT Convergence: AI-Empowered Digital Innovation. International Conference on ICT Convergence, IEEE Computer Society, pp. 1169-1170, 15th International Conference on Information and Communication Technology Convergence, ICTC 2024, Jeju Island, Korea, Republic of, 16/10/24. https://doi.org/10.1109/ICTC62082.2024.10827565

Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication. / Ofori-Amanfo, Kofi A.; Asiedu, Derek K.P.; Saoudi, Samir et al.
ICTC 2024 - 15th International Conference on ICT Convergence: AI-Empowered Digital Innovation. IEEE Computer Society, 2024. p. 1169-1170 (International Conference on ICT Convergence).

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

TY - GEN

T1 - Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication

AU - Ofori-Amanfo, Kofi A.

AU - Asiedu, Derek K.P.

AU - Saoudi, Samir

AU - Yun, Ji Hoon

PY - 2024

Y1 - 2024

N2 - We develop a symbiotic operation framework of primary downlink vehicular communication using rate-splitting multiple access (RSMA) and secondary backscatter communication of an intelligent reflecting surface (IRS). The framework employs alternating optimization for resource allocation, considering channel estimation errors caused by vehicular mobility.

AB - We develop a symbiotic operation framework of primary downlink vehicular communication using rate-splitting multiple access (RSMA) and secondary backscatter communication of an intelligent reflecting surface (IRS). The framework employs alternating optimization for resource allocation, considering channel estimation errors caused by vehicular mobility.

KW - backscatter communication

KW - intelligent reflecting surface (IRS)

KW - rate splitting multiple access (RSMA)

UR - https://www.scopus.com/pages/publications/85217631980

U2 - 10.1109/ICTC62082.2024.10827565

DO - 10.1109/ICTC62082.2024.10827565

M3 - Conference contribution

AN - SCOPUS:85217631980

T3 - International Conference on ICT Convergence

SP - 1169

EP - 1170

BT - ICTC 2024 - 15th International Conference on ICT Convergence

PB - IEEE Computer Society

T2 - 15th International Conference on Information and Communication Technology Convergence, ICTC 2024

Y2 - 16 October 2024 through 18 October 2024

ER -

Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication

Abstract

Publication series

Conference

Keywords

Access to Document

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