Coding Controlled Integrated Data and Energy Transfer

Radio frequency (RF) signals have been relied upon for both wireless information delivery and wireless charging to the massively deployed low-power Internet of Things (IoT) devices. Extensive efforts have been invested in physical layer and medium-access-control layer design for integrating both wireless data transfer (WDT) and wireless energy transfer (WET) in RF bands. Different from the existing works, we study the coding controlled integrated data and energy transfer (IDET) from the information theoretical perspective with practical transceiver. Due to its practical decoding implementation and its flexibility on the codeword structure, unary code is chosen for joint information and energy encoding. WET performance in terms of energy harvested per binary sign and of battery overflow/underflow probability is maximized by optimizing the codeword distribution of coded information source, while satisfying required wireless information transfer (WIT) performance in terms of mutual information. Note that both the ON-OFF-Keying (OOK) and Quadrature-Amplitude-Modulation (QAM) are considered at the transmitter. Furthermore, a Genetic Algorithm (GA) aided coding design is proposed to reduce the computational complexity. Numerical results characterize the SWIPT performance and validate the optimality of our proposed GA aided unary coding design.