Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes

Vaneet Aggarwal; Mark R. Bell; Anis Elgabli; Xiaodong Wang; Shan Zhong

doi:10.1109/ICC.2017.7996353

Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes

Vaneet Aggarwal
, Mark R. Bell
, Anis Elgabli
, Xiaodong Wang
, Shan Zhong

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

3 Scopus citations

Abstract

In this paper, we consider the energy-bandwidth allocation for a network of multiple users, where the transmitters each powered by both an energy harvester and conventional grid, access the network orthogonally on the assigned frequency band. The tradeoff among the weighted sum throughput, the use of grid energy, and the amount of energy cooperation is studied through an optimization objective which is a linear combination of these quantities. To solve the problem efficiently, an iterative algorithm is proposed using the Proximal Jacobian ADMM. We show that this algorithm converges to the optimal solution with an overall complexity of O(N²K²). Numerical results show that the proposed algorithms can make efficient use of the harvested energy, grid energy, energy cooperation, and the available bandwidth.

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.2017.7996353
State	Published - 28 Jul 2017
Externally published	Yes

Publication series

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

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2017.7996353

Cite this

Aggarwal, V., Bell, M. R., Elgabli, A., Wang, X., & Zhong, S. (2017). Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 Article 7996353 (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996353

Aggarwal, Vaneet ; Bell, Mark R. ; Elgabli, Anis et al. / Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes. 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{947afab7c70347859b1386620309b2a5,

title = "Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes",

abstract = "In this paper, we consider the energy-bandwidth allocation for a network of multiple users, where the transmitters each powered by both an energy harvester and conventional grid, access the network orthogonally on the assigned frequency band. The tradeoff among the weighted sum throughput, the use of grid energy, and the amount of energy cooperation is studied through an optimization objective which is a linear combination of these quantities. To solve the problem efficiently, an iterative algorithm is proposed using the Proximal Jacobian ADMM. We show that this algorithm converges to the optimal solution with an overall complexity of O(N2K2). Numerical results show that the proposed algorithms can make efficient use of the harvested energy, grid energy, energy cooperation, and the available bandwidth.",

author = "Vaneet Aggarwal and Bell, \{Mark R.\} and Anis Elgabli and Xiaodong Wang and Shan Zhong",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

month = jul,

day = "28",

doi = "10.1109/ICC.2017.7996353",

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",

}

Aggarwal, V, Bell, MR, Elgabli, A, Wang, X & Zhong, S 2017, Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes. in M Debbah, D Gesbert & A Mellouk (eds), 2017 IEEE International Conference on Communications, ICC 2017., 7996353, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICC.2017.7996353

Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes. / Aggarwal, Vaneet; Bell, Mark R.; Elgabli, Anis 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. 7996353 (IEEE International Conference on Communications).

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

TY - GEN

T1 - Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes

AU - Aggarwal, Vaneet

AU - Bell, Mark R.

AU - Elgabli, Anis

AU - Wang, Xiaodong

AU - Zhong, Shan

PY - 2017/7/28

Y1 - 2017/7/28

N2 - In this paper, we consider the energy-bandwidth allocation for a network of multiple users, where the transmitters each powered by both an energy harvester and conventional grid, access the network orthogonally on the assigned frequency band. The tradeoff among the weighted sum throughput, the use of grid energy, and the amount of energy cooperation is studied through an optimization objective which is a linear combination of these quantities. To solve the problem efficiently, an iterative algorithm is proposed using the Proximal Jacobian ADMM. We show that this algorithm converges to the optimal solution with an overall complexity of O(N2K2). Numerical results show that the proposed algorithms can make efficient use of the harvested energy, grid energy, energy cooperation, and the available bandwidth.

AB - In this paper, we consider the energy-bandwidth allocation for a network of multiple users, where the transmitters each powered by both an energy harvester and conventional grid, access the network orthogonally on the assigned frequency band. The tradeoff among the weighted sum throughput, the use of grid energy, and the amount of energy cooperation is studied through an optimization objective which is a linear combination of these quantities. To solve the problem efficiently, an iterative algorithm is proposed using the Proximal Jacobian ADMM. We show that this algorithm converges to the optimal solution with an overall complexity of O(N2K2). Numerical results show that the proposed algorithms can make efficient use of the harvested energy, grid energy, energy cooperation, and the available bandwidth.

UR - https://www.scopus.com/pages/publications/85028308373

U2 - 10.1109/ICC.2017.7996353

DO - 10.1109/ICC.2017.7996353

M3 - Conference contribution

AN - SCOPUS:85028308373

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.

ER -

Aggarwal V, Bell MR, Elgabli A, Wang X, Zhong S. Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes. In Debbah M, Gesbert D, Mellouk A, editors, 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7996353. (IEEE International Conference on Communications). doi: 10.1109/ICC.2017.7996353

Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes

Abstract

Publication series

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this