Information-Energy Capacity Region for SWIPT Systems with Semantic Communication

In this paper, we study the fundamental limits of simultaneous semantic information and power transfer. In particular, a three-party communication system is considered, where an information transmitter aims to simultaneously convey semantic information to an information receiver (IR) and deliver energy to an energy harvesting receiver. An achievable and a converse region in terms of information and energy rates (in bits per channel use and energy-units per channel use, respectively) are presented for the discrete memoryless (DM) channel. The achievable region is obtained by using the asymptotic equipartition property (AEP) and a converse region is obtained by using outer bounds on the semantic information rates. In addition, we characterize an achievable region for the Gaussian case by using a power splitting technique between the information and the semantic context parts. A converse region is also obtained that provides an estimate of the information-energy capacity while taking into account semantics. Numerical results show a higher performance in terms of information and energy rates by considering a low semantic ambiguity code in comparison to the classical coding scheme (without semantic).