Joint base station assignment and power control in hybrid energy supply wireless networks

Yuyi Mao, Jun Zhang, Khaled Letaief

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper addresses the joint base station (BS) assignment and power control problem in a hybrid energy supply wireless network, where an energy harvesting BS and a grid-powered BS coordinate to serve a mobile user. In order to minimize the grid energy consumption while maximizing the number of transmitted data packets, we introduce the total service cost over an N-block frame as the performance metric, which is the weighted sum of the grid energy cost and the packet drop cost. With non-causal side information (SI) available at the BSs, including energy SI and channel SI, a Greedy Assignment algorithm with low complexity and near optimal performance is proposed. For the causal SI setting, the design problem is formulated as a discrete Markov decision problem. Interesting solution structures are derived, which help develop an efficient monotone backward induction algorithm. To further reduce the complexity, a heuristic online policy is also proposed. Simulation results shall validate the effectiveness of the proposed policies and demonstrate a unique tradeoff in such networks, i.e., the tradeoff between the grid energy consumption and the provided quality of service.

Original languageEnglish
Title of host publication2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1177-1182
Number of pages6
ISBN (Electronic)9781479984060
DOIs
Publication statusPublished - 17 Jun 2015
Externally publishedYes
Event2015 IEEE Wireless Communications and Networking Conference, WCNC 2015 - New Orleans, United States
Duration: 9 Mar 201512 Mar 2015

Other

Other2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
CountryUnited States
CityNew Orleans
Period9/3/1512/3/15

Fingerprint

Power control
Base stations
Wireless networks
Energy utilization
Costs
Energy harvesting
Quality of service

Keywords

  • Base Station Assignment
  • Energy Harvesting
  • Green Communications
  • Power Control
  • QoS

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

Cite this

Mao, Y., Zhang, J., & Letaief, K. (2015). Joint base station assignment and power control in hybrid energy supply wireless networks. In 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015 (pp. 1177-1182). [7127636] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2015.7127636

Joint base station assignment and power control in hybrid energy supply wireless networks. / Mao, Yuyi; Zhang, Jun; Letaief, Khaled.

2015 IEEE Wireless Communications and Networking Conference, WCNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1177-1182 7127636.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mao, Y, Zhang, J & Letaief, K 2015, Joint base station assignment and power control in hybrid energy supply wireless networks. in 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015., 7127636, Institute of Electrical and Electronics Engineers Inc., pp. 1177-1182, 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015, New Orleans, United States, 9/3/15. https://doi.org/10.1109/WCNC.2015.7127636
Mao Y, Zhang J, Letaief K. Joint base station assignment and power control in hybrid energy supply wireless networks. In 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1177-1182. 7127636 https://doi.org/10.1109/WCNC.2015.7127636
Mao, Yuyi ; Zhang, Jun ; Letaief, Khaled. / Joint base station assignment and power control in hybrid energy supply wireless networks. 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1177-1182
@inproceedings{c023a2909a974983a7670c94c52201e8,
title = "Joint base station assignment and power control in hybrid energy supply wireless networks",
abstract = "This paper addresses the joint base station (BS) assignment and power control problem in a hybrid energy supply wireless network, where an energy harvesting BS and a grid-powered BS coordinate to serve a mobile user. In order to minimize the grid energy consumption while maximizing the number of transmitted data packets, we introduce the total service cost over an N-block frame as the performance metric, which is the weighted sum of the grid energy cost and the packet drop cost. With non-causal side information (SI) available at the BSs, including energy SI and channel SI, a Greedy Assignment algorithm with low complexity and near optimal performance is proposed. For the causal SI setting, the design problem is formulated as a discrete Markov decision problem. Interesting solution structures are derived, which help develop an efficient monotone backward induction algorithm. To further reduce the complexity, a heuristic online policy is also proposed. Simulation results shall validate the effectiveness of the proposed policies and demonstrate a unique tradeoff in such networks, i.e., the tradeoff between the grid energy consumption and the provided quality of service.",
keywords = "Base Station Assignment, Energy Harvesting, Green Communications, Power Control, QoS",
author = "Yuyi Mao and Jun Zhang and Khaled Letaief",
year = "2015",
month = "6",
day = "17",
doi = "10.1109/WCNC.2015.7127636",
language = "English",
pages = "1177--1182",
booktitle = "2015 IEEE Wireless Communications and Networking Conference, WCNC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Joint base station assignment and power control in hybrid energy supply wireless networks

AU - Mao, Yuyi

AU - Zhang, Jun

AU - Letaief, Khaled

PY - 2015/6/17

Y1 - 2015/6/17

N2 - This paper addresses the joint base station (BS) assignment and power control problem in a hybrid energy supply wireless network, where an energy harvesting BS and a grid-powered BS coordinate to serve a mobile user. In order to minimize the grid energy consumption while maximizing the number of transmitted data packets, we introduce the total service cost over an N-block frame as the performance metric, which is the weighted sum of the grid energy cost and the packet drop cost. With non-causal side information (SI) available at the BSs, including energy SI and channel SI, a Greedy Assignment algorithm with low complexity and near optimal performance is proposed. For the causal SI setting, the design problem is formulated as a discrete Markov decision problem. Interesting solution structures are derived, which help develop an efficient monotone backward induction algorithm. To further reduce the complexity, a heuristic online policy is also proposed. Simulation results shall validate the effectiveness of the proposed policies and demonstrate a unique tradeoff in such networks, i.e., the tradeoff between the grid energy consumption and the provided quality of service.

AB - This paper addresses the joint base station (BS) assignment and power control problem in a hybrid energy supply wireless network, where an energy harvesting BS and a grid-powered BS coordinate to serve a mobile user. In order to minimize the grid energy consumption while maximizing the number of transmitted data packets, we introduce the total service cost over an N-block frame as the performance metric, which is the weighted sum of the grid energy cost and the packet drop cost. With non-causal side information (SI) available at the BSs, including energy SI and channel SI, a Greedy Assignment algorithm with low complexity and near optimal performance is proposed. For the causal SI setting, the design problem is formulated as a discrete Markov decision problem. Interesting solution structures are derived, which help develop an efficient monotone backward induction algorithm. To further reduce the complexity, a heuristic online policy is also proposed. Simulation results shall validate the effectiveness of the proposed policies and demonstrate a unique tradeoff in such networks, i.e., the tradeoff between the grid energy consumption and the provided quality of service.

KW - Base Station Assignment

KW - Energy Harvesting

KW - Green Communications

KW - Power Control

KW - QoS

UR - http://www.scopus.com/inward/record.url?scp=84938717650&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84938717650&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2015.7127636

DO - 10.1109/WCNC.2015.7127636

M3 - Conference contribution

AN - SCOPUS:84938717650

SP - 1177

EP - 1182

BT - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -