TY - GEN
T1 - Optimal energy requesting strategy for RF-based energy harvesting wireless communications
AU - Luo, Yu
AU - Pu, Lina
AU - Zhao, Yanxiao
AU - Wang, Guodong
AU - Song, Min
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - Energy harvesting is emerging as a promising alternative source to power the next generation of wireless networks. This paper introduces a new energy harvesting strategy that uses a dedicated energy source to optimally replenish energy for radio frequency (RF) based wireless communication systems. Specifically, we develop a two-step dual tunnel energy requesting (DTER) strategy that allows an energy harvesting device to effectively obtain energy from a dedicated energy source. While minimizing the system energy consumption, DTER takes into account the practical constraints on both the energy source and the energy harvesting device. Additionally, the overhead issue and the charge characteristics of an energy storage component are examined to make the proposed strategy practical. To solve the nonlinear optimization problem in DTER, we convert the design of optimal energy requesting problem into a classic shortest path problem and thus enable us to find a global optimal solution through dynamic programming algorithms. Theoretical analysis and simulation study verify that DTER outperforms two other schemes in the literature.
AB - Energy harvesting is emerging as a promising alternative source to power the next generation of wireless networks. This paper introduces a new energy harvesting strategy that uses a dedicated energy source to optimally replenish energy for radio frequency (RF) based wireless communication systems. Specifically, we develop a two-step dual tunnel energy requesting (DTER) strategy that allows an energy harvesting device to effectively obtain energy from a dedicated energy source. While minimizing the system energy consumption, DTER takes into account the practical constraints on both the energy source and the energy harvesting device. Additionally, the overhead issue and the charge characteristics of an energy storage component are examined to make the proposed strategy practical. To solve the nonlinear optimization problem in DTER, we convert the design of optimal energy requesting problem into a classic shortest path problem and thus enable us to find a global optimal solution through dynamic programming algorithms. Theoretical analysis and simulation study verify that DTER outperforms two other schemes in the literature.
UR - http://www.scopus.com/inward/record.url?scp=85034069561&partnerID=8YFLogxK
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U2 - 10.1109/INFOCOM.2017.8057016
DO - 10.1109/INFOCOM.2017.8057016
M3 - Conference contribution
AN - SCOPUS:85034069561
T3 - Proceedings - IEEE INFOCOM
BT - INFOCOM 2017 - IEEE Conference on Computer Communications
T2 - 2017 IEEE Conference on Computer Communications, INFOCOM 2017
Y2 - 1 May 2017 through 4 May 2017
ER -