Energy-Efficient Hybrid-Modulated IoT Transceiver with Symbol-Aware Power Amplifier Control

Abstract

The growing deployment of Internet of Things (IoT) devices has intensified the demand for energy-efficient communication systems that ensure reliable operation under stringent power and maintenance constraints. Traditional transceiver designs often struggle to achieve long-term energy sustainability, resulting in frequent battery replacements, high operational costs, and service disruptions, particularly in remote or difficult-toaccess IoT deployments. This paper presents a novel energyefficient transceiver architecture tailored for IoT applications, integrating hybrid modulation with intelligent power amplifier (PA) control to reduce energy consumption. By selectively deactivating the PA for statistically dominant “typical” symbols, the proposed system achieves up to 30% energy savings without sacrificing communication quality. To support efficient signal decoding, two receiver architectures are introduced: (i) an energy detectionbased approach with a closed-form Bit Error Rate (BER) model, and (ii) a deep learning-based approach leveraging denoising and classification for enhanced robustness. Simulation results confirm that the proposed design maintains BER performance comparable to conventional schemes while preserving spectral efficiency and significantly extending battery life. This solution offers a scalable, low-power communication method suitable for IoT deployments that require reliable and long-duration operation.