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
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
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.
T2 - 2018 IEEE Military Communications Conference, MILCOM 2018
Y2 - 29 October 2018 through 31 October 2018
ER -