Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks

Anay Ajit Deshpande; Cristian J. Vaca-Rubio; Salman Mohebi; Dariush Salami; Elisabeth De Carvalho; Petar Popovski; Stephan Sigg; Michele Zorzi; Andrea Zanella

doi:10.1109/MedComNet55087.2022.9810453

Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks

Anay Ajit Deshpande^*, Cristian J. Vaca-Rubio, Salman Mohebi, Dariush Salami, Elisabeth De Carvalho, Petar Popovski, Stephan Sigg, Michele Zorzi, Andrea Zanella

^*Corresponding author for this work

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

3 Citations (Scopus)

60 Downloads (Pure)

Abstract

The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication to ground users in dense urban areas. In this paper, we devise an optimization scenario to reduce overall energy consumption in the network while guaranteeing certain Quality of Service (QoS) to the ground users in the area. Due to the complex nature of the optimization problem, we provide a joint UAV trajectory and RIS phase decision to minimize transmission power of the UAV and Base Station (BS) that yields good performance with lower complexity. So, the proposed method uses a Successive Convex Approximation (SCA) to iteratively determine a joint optimal solution for UAV Trajectory, RIS phase and BS and UAV Transmission Power. The simulation results show the algorithm provides a minimum guaranteed rate while minimising transmission power of UAV and BS.

Original language	English
Title of host publication	2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022
Publisher	IEEE
Pages	158-165
Number of pages	8
ISBN (Electronic)	978-1-6654-8729-0
DOIs	https://doi.org/10.1109/MedComNet55087.2022.9810453
Publication status	Published - 1 Jul 2022
MoE publication type	A4 Conference publication
Event	Mediterranean Communication and Computer Networking Conference - Pafos, Cyprus Duration: 1 Jun 2022 → 3 Jun 2022

Publication series

Name	2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022

Conference

Conference	Mediterranean Communication and Computer Networking Conference
Abbreviated title	MedComNet
Country/Territory	Cyprus
City	Pafos
Period	01/06/2022 → 03/06/2022

Keywords

Energy Efficient Network
Reconfigurable Intelligent Surfaces
Unmanned Aerial Vehicles

UN SDGs

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

Access to Document

10.1109/MedComNet55087.2022.9810453

Salami_UAV_RISAccepted author manuscript, 1.03 MB

Cite this

Deshpande, A. A., Vaca-Rubio, C. J., Mohebi, S., Salami, D., De Carvalho, E., Popovski, P., Sigg, S., Zorzi, M., & Zanella, A. (2022). Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks. In 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022 (pp. 158-165). (2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022). IEEE. https://doi.org/10.1109/MedComNet55087.2022.9810453

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title = "Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks",

abstract = "The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication to ground users in dense urban areas. In this paper, we devise an optimization scenario to reduce overall energy consumption in the network while guaranteeing certain Quality of Service (QoS) to the ground users in the area. Due to the complex nature of the optimization problem, we provide a joint UAV trajectory and RIS phase decision to minimize transmission power of the UAV and Base Station (BS) that yields good performance with lower complexity. So, the proposed method uses a Successive Convex Approximation (SCA) to iteratively determine a joint optimal solution for UAV Trajectory, RIS phase and BS and UAV Transmission Power. The simulation results show the algorithm provides a minimum guaranteed rate while minimising transmission power of UAV and BS.",

keywords = "Energy Efficient Network, Reconfigurable Intelligent Surfaces, Unmanned Aerial Vehicles",

author = "Deshpande, {Anay Ajit} and Vaca-Rubio, {Cristian J.} and Salman Mohebi and Dariush Salami and {De Carvalho}, Elisabeth and Petar Popovski and Stephan Sigg and Michele Zorzi and Andrea Zanella",

note = "EC/H2020/813999/EU//WINDMILL; Mediterranean Communication and Computer Networking Conference, MedComNet ; Conference date: 01-06-2022 Through 03-06-2022",

year = "2022",

month = jul,

day = "1",

doi = "10.1109/MedComNet55087.2022.9810453",

language = "English",

series = "2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022",

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address = "United States",

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Deshpande, AA, Vaca-Rubio, CJ, Mohebi, S, Salami, D, De Carvalho, E, Popovski, P, Sigg, S, Zorzi, M & Zanella, A 2022, Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks. in 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022. 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022, IEEE, pp. 158-165, Mediterranean Communication and Computer Networking Conference, Pafos, Cyprus, 01/06/2022. https://doi.org/10.1109/MedComNet55087.2022.9810453

Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks. / Deshpande, Anay Ajit; Vaca-Rubio, Cristian J.; Mohebi, Salman et al.
2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022. IEEE, 2022. p. 158-165 (2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022).

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

TY - GEN

T1 - Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks

AU - Deshpande, Anay Ajit

AU - Vaca-Rubio, Cristian J.

AU - Mohebi, Salman

AU - Salami, Dariush

AU - De Carvalho, Elisabeth

AU - Popovski, Petar

AU - Sigg, Stephan

AU - Zorzi, Michele

AU - Zanella, Andrea

N1 - EC/H2020/813999/EU//WINDMILL

PY - 2022/7/1

Y1 - 2022/7/1

N2 - The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication to ground users in dense urban areas. In this paper, we devise an optimization scenario to reduce overall energy consumption in the network while guaranteeing certain Quality of Service (QoS) to the ground users in the area. Due to the complex nature of the optimization problem, we provide a joint UAV trajectory and RIS phase decision to minimize transmission power of the UAV and Base Station (BS) that yields good performance with lower complexity. So, the proposed method uses a Successive Convex Approximation (SCA) to iteratively determine a joint optimal solution for UAV Trajectory, RIS phase and BS and UAV Transmission Power. The simulation results show the algorithm provides a minimum guaranteed rate while minimising transmission power of UAV and BS.

AB - The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication to ground users in dense urban areas. In this paper, we devise an optimization scenario to reduce overall energy consumption in the network while guaranteeing certain Quality of Service (QoS) to the ground users in the area. Due to the complex nature of the optimization problem, we provide a joint UAV trajectory and RIS phase decision to minimize transmission power of the UAV and Base Station (BS) that yields good performance with lower complexity. So, the proposed method uses a Successive Convex Approximation (SCA) to iteratively determine a joint optimal solution for UAV Trajectory, RIS phase and BS and UAV Transmission Power. The simulation results show the algorithm provides a minimum guaranteed rate while minimising transmission power of UAV and BS.

KW - Energy Efficient Network

KW - Reconfigurable Intelligent Surfaces

KW - Unmanned Aerial Vehicles

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U2 - 10.1109/MedComNet55087.2022.9810453

DO - 10.1109/MedComNet55087.2022.9810453

M3 - Conference article in proceedings

AN - SCOPUS:85135025029

T3 - 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022

SP - 158

EP - 165

BT - 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022

PB - IEEE

T2 - Mediterranean Communication and Computer Networking Conference

Y2 - 1 June 2022 through 3 June 2022

ER -

Deshpande AA, Vaca-Rubio CJ, Mohebi S, Salami D, De Carvalho E, Popovski P et al. Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks. In 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022. IEEE. 2022. p. 158-165. (2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022). doi: 10.1109/MedComNet55087.2022.9810453

Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

WINDMILL: Integrating Wireless Communication ENgineering and MachIne Learning

Cite this

Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

WINDMILL: Integrating Wireless Communication ENgineering and MachIne Learning

Cite this