A Tight Channel-Capacity Lower Bound for the Simultaneous Wireless Information and Power Transfer Integrated Receiver

TL;DR

This paper derives a tight lower bound on the channel capacity for integrated wireless information and power transfer receivers, using a novel approximation of the diode's current-voltage characteristic.

Contribution

It introduces a closed-form approximation for the channel transition matrix and demonstrates the impact of input distribution and higher-order Taylor terms on capacity.

Findings

Gamma distribution input yields a tight capacity lower bound.

Including 4th-order Taylor terms significantly increases capacity estimates.

The proposed model outperforms simplified 2nd-order models.

Abstract

Contrary to the vast majority of works on simultaneous wireless information and power transfer that provide information-theoretic limits for the separate receiver architecture, in this work we focus on the integrated receiver and provide a channel-capacity lower bound. Towards this, we provide a closed-form tight approximation for the probability transition matrix of the channel by leveraging the 4th-order Taylor expansion of the current-voltage characteristic curve of a Schottky diode used for rectification. Numerical results reveal that the consideration of the gamma distribution as an input distribution leads to a tight channel-capacity lower bound, in contrast to other input distributions, such as the Rayleigh and uniform ones. Furthermore, the results reveal that the consideration of the 4th order term in the Taylor expansion leads to a notably higher capacity with respect to the overly simplified 2nd order term-based model.