Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network

Zheyi Wu; Jiantao Yuan; Rui Yin; Xianfu Chen; Celimuge Wu

doi:10.1109/VTC2021-Fall52928.2021.9625560

Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network

Zheyi Wu
, Jiantao Yuan
, Rui Yin
, Xianfu Chen
, Celimuge Wu

BA6401 Connectivity solutions

Zhejiang University
University of KwaZulu-Natal
University of Electro-Communications

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

Abstract

In this paper, a distributed power and spectrum allocation scheme is proposed to maximize the system energy efficiency (EE) for unlicensed device-to-device (D2D-U) networks. A non-convex optimization problem is formulated while considering the co-channel interference on licensed bands as the global constraint. To deal with the non-convex situation, the object function is converted into an equivalent convex one. Then, a distributed algorithm is developed to solve the optimization problem in which each D2D-U pair can find the optimal allocation strategy independently. The signaling overheads are analyzed and numerical results are presented to show that the proposed scheme is capable of achieving the optimal EE while confining the cochannel interference and guaranteeing the fair coexistence.

Original language	English
Title of host publication	2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1-5
ISBN (Electronic)	978-1-6654-1368-8
DOIs	https://doi.org/10.1109/VTC2021-Fall52928.2021.9625560
Publication status	Published - Sept 2021
MoE publication type	A4 Article in a conference publication
Event	IEEE 94th Vehicular Technology Conference, VTC2021-Fall - Norman, OK, USA Duration: 27 Sept 2021 → 30 Sept 2021

Conference

Conference	IEEE 94th Vehicular Technology Conference, VTC2021-Fall
Period	27/09/21 → 30/09/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/VTC2021-Fall52928.2021.9625560

Cite this

@inproceedings{52655dd682f74a84a9fe08fcabf97724,

title = "Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network",

abstract = "In this paper, a distributed power and spectrum allocation scheme is proposed to maximize the system energy efficiency (EE) for unlicensed device-to-device (D2D-U) networks. A non-convex optimization problem is formulated while considering the co-channel interference on licensed bands as the global constraint. To deal with the non-convex situation, the object function is converted into an equivalent convex one. Then, a distributed algorithm is developed to solve the optimization problem in which each D2D-U pair can find the optimal allocation strategy independently. The signaling overheads are analyzed and numerical results are presented to show that the proposed scheme is capable of achieving the optimal EE while confining the cochannel interference and guaranteeing the fair coexistence.",

author = "Zheyi Wu and Jiantao Yuan and Rui Yin and Xianfu Chen and Celimuge Wu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; IEEE 94th Vehicular Technology Conference, VTC2021-Fall ; Conference date: 27-09-2021 Through 30-09-2021",

year = "2021",

month = sep,

doi = "10.1109/VTC2021-Fall52928.2021.9625560",

language = "English",

pages = "1--5",

booktitle = "2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

}

Wu, Z, Yuan, J, Yin, R, Chen, X & Wu, C 2021, Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network. in 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings. IEEE Institute of Electrical and Electronic Engineers, pp. 1-5, IEEE 94th Vehicular Technology Conference, VTC2021-Fall, 27/09/21. https://doi.org/10.1109/VTC2021-Fall52928.2021.9625560

Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network. / Wu, Zheyi; Yuan, Jiantao; Yin, Rui et al.
2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings. IEEE Institute of Electrical and Electronic Engineers, 2021. p. 1-5.

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

TY - GEN

T1 - Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network

AU - Wu, Zheyi

AU - Yuan, Jiantao

AU - Yin, Rui

AU - Chen, Xianfu

AU - Wu, Celimuge

PY - 2021/9

Y1 - 2021/9

N2 - In this paper, a distributed power and spectrum allocation scheme is proposed to maximize the system energy efficiency (EE) for unlicensed device-to-device (D2D-U) networks. A non-convex optimization problem is formulated while considering the co-channel interference on licensed bands as the global constraint. To deal with the non-convex situation, the object function is converted into an equivalent convex one. Then, a distributed algorithm is developed to solve the optimization problem in which each D2D-U pair can find the optimal allocation strategy independently. The signaling overheads are analyzed and numerical results are presented to show that the proposed scheme is capable of achieving the optimal EE while confining the cochannel interference and guaranteeing the fair coexistence.

AB - In this paper, a distributed power and spectrum allocation scheme is proposed to maximize the system energy efficiency (EE) for unlicensed device-to-device (D2D-U) networks. A non-convex optimization problem is formulated while considering the co-channel interference on licensed bands as the global constraint. To deal with the non-convex situation, the object function is converted into an equivalent convex one. Then, a distributed algorithm is developed to solve the optimization problem in which each D2D-U pair can find the optimal allocation strategy independently. The signaling overheads are analyzed and numerical results are presented to show that the proposed scheme is capable of achieving the optimal EE while confining the cochannel interference and guaranteeing the fair coexistence.

UR - https://www.scopus.com/pages/publications/85122974260

U2 - 10.1109/VTC2021-Fall52928.2021.9625560

DO - 10.1109/VTC2021-Fall52928.2021.9625560

M3 - Conference article in proceedings

SP - 1

EP - 5

BT - 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE 94th Vehicular Technology Conference, VTC2021-Fall

Y2 - 27 September 2021 through 30 September 2021

ER -

Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network

Abstract

Conference

UN SDGs

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MISSION: Mission-Critical Internet of Things Applications over Fog Networks

Cite this

Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network

Abstract

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

MISSION: Mission-Critical Internet of Things Applications over Fog Networks

Cite this