Power Optimization for Energy Efficient Wireless Communications Using Hybrid-ARQ

Yi Li, Wenhao Xiong, Nichole Sullivan, Genshe Chen, Biao Chen, Gregory Hadynski, Clifden Banner, Yiran Xu, Xin Tian

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

Abstract

Power management is a critical component for wireless networks involving battery operated devices operating in harsh and unpredictable environments. This paper proposes the use of hybrid automatic repeat request (HARQ) for energy efficient power management that improves network reliability, guarantees quality of service (QoS), and extends network lifetime. A power optimization problem is first formulated under peak power, energy budget, causality (when energy harvesting is used), and QoS constraints. Relaxation of some of constraints is then proposed that is motivated by practical considerations as well as complexity issues. An efficient solution to the simplified optimization problem is then put forward to compute the optimal operating modes/parameters and an interpolation scheme is then proposed for real time implementation. Numerical results are then presented that demonstrate the effectiveness of the proposed design approach in achieving much lower energy consumption while guaranteeing the required communication QoS.

Original languageEnglish (US)
Title of host publication2018 IEEE Military Communications Conference, MILCOM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1062-1067
Number of pages6
ISBN (Electronic)9781538671856
DOIs
StatePublished - Jan 2 2019
Event2018 IEEE Military Communications Conference, MILCOM 2018 - Los Angeles, United States
Duration: Oct 29 2018Oct 31 2018

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM
Volume2019-October

Conference

Conference2018 IEEE Military Communications Conference, MILCOM 2018
CountryUnited States
CityLos Angeles
Period10/29/1810/31/18

Fingerprint

Quality of service
Communication
Energy harvesting
Wireless networks
Interpolation
Energy utilization
Power management
Power management (telecommunication)

Keywords

  • Energy efficiency
  • HARQ
  • Kernel density estimation
  • Power optimization
  • Tactical networks
  • Wireless communications

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Li, Y., Xiong, W., Sullivan, N., Chen, G., Chen, B., Hadynski, G., ... Tian, X. (2019). Power Optimization for Energy Efficient Wireless Communications Using Hybrid-ARQ. In 2018 IEEE Military Communications Conference, MILCOM 2018 (pp. 1062-1067). [8599743] (Proceedings - IEEE Military Communications Conference MILCOM; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM.2018.8599743

Power Optimization for Energy Efficient Wireless Communications Using Hybrid-ARQ. / Li, Yi; Xiong, Wenhao; Sullivan, Nichole; Chen, Genshe; Chen, Biao; Hadynski, Gregory; Banner, Clifden; Xu, Yiran; Tian, Xin.

2018 IEEE Military Communications Conference, MILCOM 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1062-1067 8599743 (Proceedings - IEEE Military Communications Conference MILCOM; Vol. 2019-October).

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

Li, Y, Xiong, W, Sullivan, N, Chen, G, Chen, B, Hadynski, G, Banner, C, Xu, Y & Tian, X 2019, Power Optimization for Energy Efficient Wireless Communications Using Hybrid-ARQ. in 2018 IEEE Military Communications Conference, MILCOM 2018., 8599743, Proceedings - IEEE Military Communications Conference MILCOM, vol. 2019-October, Institute of Electrical and Electronics Engineers Inc., pp. 1062-1067, 2018 IEEE Military Communications Conference, MILCOM 2018, Los Angeles, United States, 10/29/18. https://doi.org/10.1109/MILCOM.2018.8599743
Li Y, Xiong W, Sullivan N, Chen G, Chen B, Hadynski G et al. Power Optimization for Energy Efficient Wireless Communications Using Hybrid-ARQ. In 2018 IEEE Military Communications Conference, MILCOM 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1062-1067. 8599743. (Proceedings - IEEE Military Communications Conference MILCOM). https://doi.org/10.1109/MILCOM.2018.8599743
Li, Yi ; Xiong, Wenhao ; Sullivan, Nichole ; Chen, Genshe ; Chen, Biao ; Hadynski, Gregory ; Banner, Clifden ; Xu, Yiran ; Tian, Xin. / Power Optimization for Energy Efficient Wireless Communications Using Hybrid-ARQ. 2018 IEEE Military Communications Conference, MILCOM 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1062-1067 (Proceedings - IEEE Military Communications Conference MILCOM).
@inproceedings{3818ee9bc9344d878700cda40ad4633c,
title = "Power Optimization for Energy Efficient Wireless Communications Using Hybrid-ARQ",
abstract = "Power management is a critical component for wireless networks involving battery operated devices operating in harsh and unpredictable environments. This paper proposes the use of hybrid automatic repeat request (HARQ) for energy efficient power management that improves network reliability, guarantees quality of service (QoS), and extends network lifetime. A power optimization problem is first formulated under peak power, energy budget, causality (when energy harvesting is used), and QoS constraints. Relaxation of some of constraints is then proposed that is motivated by practical considerations as well as complexity issues. An efficient solution to the simplified optimization problem is then put forward to compute the optimal operating modes/parameters and an interpolation scheme is then proposed for real time implementation. Numerical results are then presented that demonstrate the effectiveness of the proposed design approach in achieving much lower energy consumption while guaranteeing the required communication QoS.",
keywords = "Energy efficiency, HARQ, Kernel density estimation, Power optimization, Tactical networks, Wireless communications",
author = "Yi Li and Wenhao Xiong and Nichole Sullivan and Genshe Chen and Biao Chen and Gregory Hadynski and Clifden Banner and Yiran Xu and Xin Tian",
year = "2019",
month = "1",
day = "2",
doi = "10.1109/MILCOM.2018.8599743",
language = "English (US)",
series = "Proceedings - IEEE Military Communications Conference MILCOM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1062--1067",
booktitle = "2018 IEEE Military Communications Conference, MILCOM 2018",

}

TY - GEN

T1 - Power Optimization for Energy Efficient Wireless Communications Using Hybrid-ARQ

AU - Li, Yi

AU - Xiong, Wenhao

AU - Sullivan, Nichole

AU - Chen, Genshe

AU - Chen, Biao

AU - Hadynski, Gregory

AU - Banner, Clifden

AU - Xu, Yiran

AU - Tian, Xin

PY - 2019/1/2

Y1 - 2019/1/2

N2 - Power management is a critical component for wireless networks involving battery operated devices operating in harsh and unpredictable environments. This paper proposes the use of hybrid automatic repeat request (HARQ) for energy efficient power management that improves network reliability, guarantees quality of service (QoS), and extends network lifetime. A power optimization problem is first formulated under peak power, energy budget, causality (when energy harvesting is used), and QoS constraints. Relaxation of some of constraints is then proposed that is motivated by practical considerations as well as complexity issues. An efficient solution to the simplified optimization problem is then put forward to compute the optimal operating modes/parameters and an interpolation scheme is then proposed for real time implementation. Numerical results are then presented that demonstrate the effectiveness of the proposed design approach in achieving much lower energy consumption while guaranteeing the required communication QoS.

AB - Power management is a critical component for wireless networks involving battery operated devices operating in harsh and unpredictable environments. This paper proposes the use of hybrid automatic repeat request (HARQ) for energy efficient power management that improves network reliability, guarantees quality of service (QoS), and extends network lifetime. A power optimization problem is first formulated under peak power, energy budget, causality (when energy harvesting is used), and QoS constraints. Relaxation of some of constraints is then proposed that is motivated by practical considerations as well as complexity issues. An efficient solution to the simplified optimization problem is then put forward to compute the optimal operating modes/parameters and an interpolation scheme is then proposed for real time implementation. Numerical results are then presented that demonstrate the effectiveness of the proposed design approach in achieving much lower energy consumption while guaranteeing the required communication QoS.

KW - Energy efficiency

KW - HARQ

KW - Kernel density estimation

KW - Power optimization

KW - Tactical networks

KW - Wireless communications

UR - http://www.scopus.com/inward/record.url?scp=85061445889&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061445889&partnerID=8YFLogxK

U2 - 10.1109/MILCOM.2018.8599743

DO - 10.1109/MILCOM.2018.8599743

M3 - Conference contribution

AN - SCOPUS:85061445889

T3 - Proceedings - IEEE Military Communications Conference MILCOM

SP - 1062

EP - 1067

BT - 2018 IEEE Military Communications Conference, MILCOM 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -