  In this letter, a novel communication paradigm for simultaneous wireless
information and power transfer (SWIPT) is proposed, which leverages the thermal
characteristics of electromagnetic signals. In particular, the proposed scheme
exploits the inherent thermal dynamics of electromagnetic signals, enabling the
seamless integration of information decoding and energy harvesting (EH). As a
consequence, in contrast to conventional SWIPT techniques, the proposed model
eliminates the need to divide the received signal into orthogonal components.
By exploiting the thermal correlation between consecutive time slots, the
communication channel is converted to a virtual multiple-input multiple-output
(MIMO) channel with memory. We evaluate the achievable rate of the proposed
temperature-modulated channel for uniform and exponential input distributions
and assess its performance in terms of harvested energy through a non-linear
harvesting model. Our numerical results reveal that the exponential
distribution outperforms the uniform distribution in rate and harvested energy
at low input power levels, while the uniform distribution achieves a better EH
performance at high input power levels.
