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/Entry/PoemConference contribution

1 Scopus citations


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.
Number of pages6
ISBN (Electronic)9781538671856
StatePublished - Jul 2 2018
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


Conference2018 IEEE Military Communications Conference, MILCOM 2018
Country/TerritoryUnited States
CityLos Angeles


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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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