Power Allocation for 6G Networks with Backscatter-Enabled D2D Communications

Woon Shing Chong; Ying Loong Lee; Mau Luen Tham; Yoong Choon Chang; Feng Ke; Nordin Ramli; Li Chun Wang

doi:10.1109/GLOBECOM54140.2023.10436794

Power Allocation for 6G Networks with Backscatter-Enabled D2D Communications

Woon Shing Chong^*
, Ying Loong Lee^*
, Mau Luen Tham^*
, Yoong Choon Chang^*
, Feng Ke
, Nordin Ramli
, Li Chun Wang

^*Corresponding author for this work

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

2 Scopus citations

Abstract

Backscatter communications (BC) have recently emerged as a promising technology for sixth-generation (6G) networks with device-to-device (D2D) communications to support energy-efficient Internet of Things communications. This paper investigates the power allocation problem for energy-efficient 6G networks with backscatter-enabled D2D (BC-D2D) communications. To this end, we formulate the power allocation problem as a biobjective optimization problem that jointly maximizes the sum data rate and minimizes the power consumption of the networks, subject to energy-harvesting, reflection coefficient (RC) and power constraints. To solve this problem, suboptimal RCs are first analytically obtained based on the energy-harvesting constraints of the BC-D2D transmitters. Next, the biobjective optimization problem is transformed into a convex, single-objective power allocation optimization problem using the weighted sum approach, which is then solved using convex optimization. Results show that the proposed scheme outperforms the baseline schemes in energy efficiency under scenarios with different numbers of cellular user equipment and BC-D2D pairs.

Original language	English
Title of host publication	GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4983-4988
Number of pages	6
ISBN (Electronic)	9798350310900
DOIs	https://doi.org/10.1109/GLOBECOM54140.2023.10436794
State	Published - 2023
Event	2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	Proceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)	2334-0983
ISSN (Electronic)	2576-6813

Conference

Conference	2023 IEEE Global Communications Conference, GLOBECOM 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/12/23 → 8/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

6G
Backscatter communications
D2D communications
power allocation

Access to Document

10.1109/GLOBECOM54140.2023.10436794

Cite this

Chong, W. S., Lee, Y. L., Tham, M. L., Chang, Y. C., Ke, F., Ramli, N., & Wang, L. C. (2023). Power Allocation for 6G Networks with Backscatter-Enabled D2D Communications. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference (pp. 4983-4988). (Proceedings - IEEE Global Communications Conference, GLOBECOM). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOBECOM54140.2023.10436794

@inproceedings{1a24a38a8ff541f095a9f53c996343b5,

title = "Power Allocation for 6G Networks with Backscatter-Enabled D2D Communications",

abstract = "Backscatter communications (BC) have recently emerged as a promising technology for sixth-generation (6G) networks with device-to-device (D2D) communications to support energy-efficient Internet of Things communications. This paper investigates the power allocation problem for energy-efficient 6G networks with backscatter-enabled D2D (BC-D2D) communications. To this end, we formulate the power allocation problem as a biobjective optimization problem that jointly maximizes the sum data rate and minimizes the power consumption of the networks, subject to energy-harvesting, reflection coefficient (RC) and power constraints. To solve this problem, suboptimal RCs are first analytically obtained based on the energy-harvesting constraints of the BC-D2D transmitters. Next, the biobjective optimization problem is transformed into a convex, single-objective power allocation optimization problem using the weighted sum approach, which is then solved using convex optimization. Results show that the proposed scheme outperforms the baseline schemes in energy efficiency under scenarios with different numbers of cellular user equipment and BC-D2D pairs.",

keywords = "6G, Backscatter communications, D2D communications, power allocation",

author = "Chong, \{Woon Shing\} and Lee, \{Ying Loong\} and Tham, \{Mau Luen\} and Chang, \{Yoong Choon\} and Feng Ke and Nordin Ramli and Wang, \{Li Chun\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Global Communications Conference, GLOBECOM 2023 ; Conference date: 04-12-2023 Through 08-12-2023",

year = "2023",

doi = "10.1109/GLOBECOM54140.2023.10436794",

language = "English",

series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "4983--4988",

booktitle = "GLOBECOM 2023 - 2023 IEEE Global Communications Conference",

address = "美國",

}

Chong, WS, Lee, YL, Tham, ML, Chang, YC, Ke, F, Ramli, N & Wang, LC 2023, Power Allocation for 6G Networks with Backscatter-Enabled D2D Communications. in GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Proceedings - IEEE Global Communications Conference, GLOBECOM, Institute of Electrical and Electronics Engineers Inc., pp. 4983-4988, 2023 IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, 4/12/23. https://doi.org/10.1109/GLOBECOM54140.2023.10436794

Power Allocation for 6G Networks with Backscatter-Enabled D2D Communications. / Chong, Woon Shing; Lee, Ying Loong; Tham, Mau Luen et al.
GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Institute of Electrical and Electronics Engineers Inc., 2023. p. 4983-4988 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

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

TY - GEN

T1 - Power Allocation for 6G Networks with Backscatter-Enabled D2D Communications

AU - Chong, Woon Shing

AU - Lee, Ying Loong

AU - Tham, Mau Luen

AU - Chang, Yoong Choon

AU - Ke, Feng

AU - Ramli, Nordin

AU - Wang, Li Chun

PY - 2023

Y1 - 2023

N2 - Backscatter communications (BC) have recently emerged as a promising technology for sixth-generation (6G) networks with device-to-device (D2D) communications to support energy-efficient Internet of Things communications. This paper investigates the power allocation problem for energy-efficient 6G networks with backscatter-enabled D2D (BC-D2D) communications. To this end, we formulate the power allocation problem as a biobjective optimization problem that jointly maximizes the sum data rate and minimizes the power consumption of the networks, subject to energy-harvesting, reflection coefficient (RC) and power constraints. To solve this problem, suboptimal RCs are first analytically obtained based on the energy-harvesting constraints of the BC-D2D transmitters. Next, the biobjective optimization problem is transformed into a convex, single-objective power allocation optimization problem using the weighted sum approach, which is then solved using convex optimization. Results show that the proposed scheme outperforms the baseline schemes in energy efficiency under scenarios with different numbers of cellular user equipment and BC-D2D pairs.

AB - Backscatter communications (BC) have recently emerged as a promising technology for sixth-generation (6G) networks with device-to-device (D2D) communications to support energy-efficient Internet of Things communications. This paper investigates the power allocation problem for energy-efficient 6G networks with backscatter-enabled D2D (BC-D2D) communications. To this end, we formulate the power allocation problem as a biobjective optimization problem that jointly maximizes the sum data rate and minimizes the power consumption of the networks, subject to energy-harvesting, reflection coefficient (RC) and power constraints. To solve this problem, suboptimal RCs are first analytically obtained based on the energy-harvesting constraints of the BC-D2D transmitters. Next, the biobjective optimization problem is transformed into a convex, single-objective power allocation optimization problem using the weighted sum approach, which is then solved using convex optimization. Results show that the proposed scheme outperforms the baseline schemes in energy efficiency under scenarios with different numbers of cellular user equipment and BC-D2D pairs.

KW - 6G

KW - Backscatter communications

KW - D2D communications

KW - power allocation

UR - https://www.scopus.com/pages/publications/85187335746

U2 - 10.1109/GLOBECOM54140.2023.10436794

DO - 10.1109/GLOBECOM54140.2023.10436794

M3 - Conference contribution

AN - SCOPUS:85187335746

T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM

SP - 4983

EP - 4988

BT - GLOBECOM 2023 - 2023 IEEE Global Communications Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Global Communications Conference, GLOBECOM 2023

Y2 - 4 December 2023 through 8 December 2023

ER -

Chong WS, Lee YL, Tham ML, Chang YC, Ke F, Ramli N et al. Power Allocation for 6G Networks with Backscatter-Enabled D2D Communications. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Institute of Electrical and Electronics Engineers Inc. 2023. p. 4983-4988. (Proceedings - IEEE Global Communications Conference, GLOBECOM). doi: 10.1109/GLOBECOM54140.2023.10436794

Power Allocation for 6G Networks with Backscatter-Enabled D2D Communications

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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