TY - GEN
T1 - Reconfigurable Heterogeneous Energy Harvester with Adaptive Mode Switching
AU - Moon, Jong Ho
AU - Park, Jong Jin
AU - Kim, Dong In
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - We propose a new heterogeneous reconfigurable energy harvester with an algorithm to control reconfiguration of energy harvester and receive mode, i.e., information decoding (ID) or energy harvesting (EH), so as to enhance EH efficiency and achievable rate for simultaneous wireless information and power transfer (SWIPT). Especially, we design the heterogeneous reconfigurable energy harvester which consists of low-power and high-power energy harvester (LP/HP-EH) blocks, each comprised of multiple EH circuits in parallel. Practical energy harvesters have their own favorable input range due to turn-on sensitivity and saturation effects. Considering this, we propose a heterogeneous reconfiguration algorithm which optimizes the number of EH circuits being activated and the power-splitting ratio. Further, an adaptive mode switching (MS) problem is formulated which maximizes the achievable rate under the energy-causality condition. Our proposed algorithm can be applied to low-power wide area network (LP-WAN) with wireless EH capability for self-sustainability, thereby realizing battery-free IoT network.
AB - We propose a new heterogeneous reconfigurable energy harvester with an algorithm to control reconfiguration of energy harvester and receive mode, i.e., information decoding (ID) or energy harvesting (EH), so as to enhance EH efficiency and achievable rate for simultaneous wireless information and power transfer (SWIPT). Especially, we design the heterogeneous reconfigurable energy harvester which consists of low-power and high-power energy harvester (LP/HP-EH) blocks, each comprised of multiple EH circuits in parallel. Practical energy harvesters have their own favorable input range due to turn-on sensitivity and saturation effects. Considering this, we propose a heterogeneous reconfiguration algorithm which optimizes the number of EH circuits being activated and the power-splitting ratio. Further, an adaptive mode switching (MS) problem is formulated which maximizes the achievable rate under the energy-causality condition. Our proposed algorithm can be applied to low-power wide area network (LP-WAN) with wireless EH capability for self-sustainability, thereby realizing battery-free IoT network.
KW - mode switching
KW - nonlinear energy harvesting
KW - rate-energy tradeoff
KW - reconfigurable energy harvester
KW - SWIPT
UR - https://www.scopus.com/pages/publications/85072313815
U2 - 10.1109/SPAWC.2019.8815514
DO - 10.1109/SPAWC.2019.8815514
M3 - Conference contribution
AN - SCOPUS:85072313815
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
Y2 - 2 July 2019 through 5 July 2019
ER -