TY - JOUR
T1 - Simultaneous wireless information and power transfer with finite-alphabet input signals
AU - Zewde, Tewodros A.
AU - Gursoy, M. Cenk
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - Simultaneous wireless information and power transfer (SWIPT) has emerged as a promising technology, enabling the transmission of both data and energy to a receiver equipped with an RF energy-harvesting circuitry. In this paper, we consider a point-to-point communication system in which a source transmits finite-alphabet signals. The receiver has information-decoding (ID) and energy-harvesting (EH) components, and power-splitting scheme is applied to carry out these operations concurrently. In order to improve the rate-energy tradeoff characteristics, we have introduced a novel approach that assigns probabilities non-uniformly to different signals in the constellation. According to the relationship between signal probabilities and energy consumption, these signal probabilities can be dynamically adjusted using two techniques, namely static slope characteristics and dynamic slope characteristics, given the minimum harvested energy constraint. Intuitively, advantage of one approach over the other depends on the improvement of the power-splitting factor when high energy input signals become more likely to be transmitted. In order to determine the optimal solution, we formulate an optimization problem and develop an algorithm taking into account the key parameters, e.g., splitting factor and signal probabilities. Numerical results are provided to justify the theoretical characterizations, considering 16-QAM.
AB - Simultaneous wireless information and power transfer (SWIPT) has emerged as a promising technology, enabling the transmission of both data and energy to a receiver equipped with an RF energy-harvesting circuitry. In this paper, we consider a point-to-point communication system in which a source transmits finite-alphabet signals. The receiver has information-decoding (ID) and energy-harvesting (EH) components, and power-splitting scheme is applied to carry out these operations concurrently. In order to improve the rate-energy tradeoff characteristics, we have introduced a novel approach that assigns probabilities non-uniformly to different signals in the constellation. According to the relationship between signal probabilities and energy consumption, these signal probabilities can be dynamically adjusted using two techniques, namely static slope characteristics and dynamic slope characteristics, given the minimum harvested energy constraint. Intuitively, advantage of one approach over the other depends on the improvement of the power-splitting factor when high energy input signals become more likely to be transmitted. In order to determine the optimal solution, we formulate an optimization problem and develop an algorithm taking into account the key parameters, e.g., splitting factor and signal probabilities. Numerical results are provided to justify the theoretical characterizations, considering 16-QAM.
KW - Energy harvesting
KW - Finite-alphabet input
KW - Mutual information
KW - Power-splitting
KW - SWIPT
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U2 - 10.1109/VTCFall.2015.7391141
DO - 10.1109/VTCFall.2015.7391141
M3 - Conference article
AN - SCOPUS:84964507416
SN - 1550-2252
JO - IEEE Vehicular Technology Conference
JF - IEEE Vehicular Technology Conference
IS - VOL
M1 - 7391141
T2 - 82nd IEEE Vehicular Technology Conference, VTC Fall 2015
Y2 - 6 September 2015 through 9 September 2015
ER -