Economics of Semantic Communication System in Wireless Powered Internet of Things

TLDR

Semantic communication enables wireless devices to transmit meaning‑rich data, yet energy constraints in wireless‑powered IoT remain underexplored. The study proposes an energy‑valuation framework and an incentive‑based mechanism to allocate harvested energy among IoT devices. IoT devices bid for energy, and a deep‑learning‑based optimal auction selects winners and determines payments. The auction maximizes the transmitter’s revenue while ensuring individual rationality and incentive compatibility.

Abstract

The semantic communication system enables wireless devices to communicate effectively with the semantic meaning of the data. Wireless powered Internet of Things (IoT) that adopts the semantic communication system relies on harvested energy to transmit semantic information. However, the issue of energy constraint in the semantic communication system is not well studied. In this paper, we propose a semantic-based energy valuation and take an economic approach to solve the energy allocation problem as an incentive mechanism design. In our model, IoT devices (bidders) place their bids for the energy and power transmitter (auctioneer) decides the winner and payment by using deep learning based optimal auction. Results show that the revenue of wireless power transmitter is maximized while satisfying Individual Rationality (IR) and Incentive Compatibility (IC).