Energy Aware Wireless System based Software Defined Radio

TL;DR

This paper presents a practical implementation of an energy-aware wireless system using software defined radio and solar power, introducing an adaptive modulation algorithm that optimizes energy use based on battery charge and user preferences.

Contribution

It develops a lab setup for green wireless communication and proposes a novel adaptive modulation algorithm considering battery state and user preferences.

Findings

Successful implementation of a solar-powered SDR system.

Adaptive modulation improves energy efficiency based on battery charge.

User preferences influence the modulation mode selection.

Abstract

Development of green telecommunication systems is already being considered highly attractive by standard bodies and recently is attracting research attention. While most of the research focuses on modeling and simulation, in this work we implement a lab setup to test an energy aware wireless system based on software defined radio and solar energy power system. In addition, we proposed an energy aware adaptive modulation algorithm that considers the state of charge of the solar energy batteries before setting up the modulation order. Moreover, the algorithm adapts to user preferences between the connectivity mode and the quality mode.