Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks

Haichao Wang; Guoru Ding; Jinlong Wang; Le Wang; Theodoros A. Tsiftsis; Prabhat K. Sharma

doi:10.1109/ICC.2017.7997132

Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks

Haichao Wang, Guoru Ding, Jinlong Wang, Le Wang, Theodoros A. Tsiftsis, Prabhat K. Sharma

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

28 Citations (Scopus)

Abstract

Device-to-device communication and energy harvesting are both key technologies to improve spectrum and energy efficiency. In this paper, we investigate the resource allocation problem for the energy harvesting-powered D2D communication underlaying cellular networks, where D2D pairs firstly harvest energy and then transmit information signals. The goal is to maximize the sum throughput via joint time scheduling and power control while satisfying the SINR requirement of cellular user and taking into account the energy constraint. The formulated non-convex problem is transformed into a nonlinear fractional programming problem with a tactful reformulation. Coupled with D.C. (difference of two convex functions) programming, a near optimal solution of the non-convex problem can be obtained by iteratively solving a sequence of convex problems. Then, a first-order algorithm is employed to solve these convex problems. Numerical simulations are conducted to validate the effectiveness of the proposed algorithm and evaluate the system throughput performance.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications, ICC 2017
Editors	Merouane Debbah, David Gesbert, Abdelhamid Mellouk
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7997132
Publication status	Published - 28 Jul 2017
Externally published	Yes
Event	2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 21 May 2017 → 25 May 2017

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	1550-3607

Conference

Conference	2017 IEEE International Conference on Communications, ICC 2017
Country/Territory	France
City	Paris
Period	21/05/17 → 25/05/17

Keywords

D.C. programming
device-to-device (D2D)
energy harvesting
fractional programming
resource allocation

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

UN SDGs

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

Access to Document

10.1109/ICC.2017.7997132

Cite this

Wang, H., Ding, G., Wang, J., Wang, L., Tsiftsis, T. A., & Sharma, P. K. (2017). Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 Article 7997132 (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7997132

Wang, Haichao ; Ding, Guoru ; Wang, Jinlong et al. / Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks. 2017 IEEE International Conference on Communications, ICC 2017. editor / Merouane Debbah ; David Gesbert ; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. (IEEE International Conference on Communications).

@inproceedings{0c95c9a93d6d4be9afc160d87100da89,

title = "Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks",

abstract = "Device-to-device communication and energy harvesting are both key technologies to improve spectrum and energy efficiency. In this paper, we investigate the resource allocation problem for the energy harvesting-powered D2D communication underlaying cellular networks, where D2D pairs firstly harvest energy and then transmit information signals. The goal is to maximize the sum throughput via joint time scheduling and power control while satisfying the SINR requirement of cellular user and taking into account the energy constraint. The formulated non-convex problem is transformed into a nonlinear fractional programming problem with a tactful reformulation. Coupled with D.C. (difference of two convex functions) programming, a near optimal solution of the non-convex problem can be obtained by iteratively solving a sequence of convex problems. Then, a first-order algorithm is employed to solve these convex problems. Numerical simulations are conducted to validate the effectiveness of the proposed algorithm and evaluate the system throughput performance.",

keywords = "D.C. programming, device-to-device (D2D), energy harvesting, fractional programming, resource allocation",

author = "Haichao Wang and Guoru Ding and Jinlong Wang and Le Wang and Tsiftsis, \{Theodoros A.\} and Sharma, \{Prabhat K.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Communications, ICC 2017 ; Conference date: 21-05-2017 Through 25-05-2017",

year = "2017",

month = jul,

day = "28",

doi = "10.1109/ICC.2017.7997132",

language = "English",

series = "IEEE International Conference on Communications",

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

editor = "Merouane Debbah and David Gesbert and Abdelhamid Mellouk",

booktitle = "2017 IEEE International Conference on Communications, ICC 2017",

address = "United States",

}

Wang, H, Ding, G, Wang, J, Wang, L, Tsiftsis, TA & Sharma, PK 2017, Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks. in M Debbah, D Gesbert & A Mellouk (eds), 2017 IEEE International Conference on Communications, ICC 2017., 7997132, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21/05/17. https://doi.org/10.1109/ICC.2017.7997132

Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks. / Wang, Haichao; Ding, Guoru; Wang, Jinlong et al.
2017 IEEE International Conference on Communications, ICC 2017. ed. / Merouane Debbah; David Gesbert; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. 7997132 (IEEE International Conference on Communications).

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

TY - GEN

T1 - Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks

AU - Wang, Haichao

AU - Ding, Guoru

AU - Wang, Jinlong

AU - Wang, Le

AU - Tsiftsis, Theodoros A.

AU - Sharma, Prabhat K.

PY - 2017/7/28

Y1 - 2017/7/28

N2 - Device-to-device communication and energy harvesting are both key technologies to improve spectrum and energy efficiency. In this paper, we investigate the resource allocation problem for the energy harvesting-powered D2D communication underlaying cellular networks, where D2D pairs firstly harvest energy and then transmit information signals. The goal is to maximize the sum throughput via joint time scheduling and power control while satisfying the SINR requirement of cellular user and taking into account the energy constraint. The formulated non-convex problem is transformed into a nonlinear fractional programming problem with a tactful reformulation. Coupled with D.C. (difference of two convex functions) programming, a near optimal solution of the non-convex problem can be obtained by iteratively solving a sequence of convex problems. Then, a first-order algorithm is employed to solve these convex problems. Numerical simulations are conducted to validate the effectiveness of the proposed algorithm and evaluate the system throughput performance.

AB - Device-to-device communication and energy harvesting are both key technologies to improve spectrum and energy efficiency. In this paper, we investigate the resource allocation problem for the energy harvesting-powered D2D communication underlaying cellular networks, where D2D pairs firstly harvest energy and then transmit information signals. The goal is to maximize the sum throughput via joint time scheduling and power control while satisfying the SINR requirement of cellular user and taking into account the energy constraint. The formulated non-convex problem is transformed into a nonlinear fractional programming problem with a tactful reformulation. Coupled with D.C. (difference of two convex functions) programming, a near optimal solution of the non-convex problem can be obtained by iteratively solving a sequence of convex problems. Then, a first-order algorithm is employed to solve these convex problems. Numerical simulations are conducted to validate the effectiveness of the proposed algorithm and evaluate the system throughput performance.

KW - D.C. programming

KW - device-to-device (D2D)

KW - energy harvesting

KW - fractional programming

KW - resource allocation

UR - https://www.scopus.com/pages/publications/85028323215

U2 - 10.1109/ICC.2017.7997132

DO - 10.1109/ICC.2017.7997132

M3 - Conference contribution

AN - SCOPUS:85028323215

T3 - IEEE International Conference on Communications

BT - 2017 IEEE International Conference on Communications, ICC 2017

A2 - Debbah, Merouane

A2 - Gesbert, David

A2 - Mellouk, Abdelhamid

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Communications, ICC 2017

Y2 - 21 May 2017 through 25 May 2017

ER -

Wang H, Ding G, Wang J, Wang L, Tsiftsis TA, Sharma PK. Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks. In Debbah M, Gesbert D, Mellouk A, editors, 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7997132. (IEEE International Conference on Communications). doi: 10.1109/ICC.2017.7997132

Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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