The field of wireless systems and cloud computing is moving towards a more sustainable and environmentally friendly direction. Researchers are exploring new metrics and frameworks to reduce energy consumption and environmental impact. A key area of focus is the development of novel sustainability metrics that capture the environmental footprint of wireless networks and cloud datacenters. These metrics are being used to optimize resource allocation and reduce emissions. Another important area of research is the design of energy-efficient cloud computing systems, including the use of economic incentives such as taxes to encourage the adoption of green cloud computing practices. Noteworthy papers in this area include:

• A paper that proposes a novel sustainability metric for 6G networks, which reduces average emissions per bit by around 26% compared to state-of-the-art methods.
• A paper that introduces a Token-Responsive Energy Efficiency framework for green AI-integrated 6G networks, which helps network operators quantify the operating energy cost of AI services.
• A paper that develops a tax model to reduce energy consumption in cloud datacenters, which fosters energy-efficient datacenters and leads to a shift of workloads from energy-inefficient datacenters.