Zero SolarWing: A net-Zero Solar Wind-Powered UAV-Enabled RIS System for URLLC Services in 6G Compute First Networks

The transition to sixth-generation (6G) networks demands innovative solutions to address the challenges of energy efficiency, ultra-reliable low-latency communications (URLLC), and sustainable network architectures. Recently, Compute First Networking (CFN) has emerged as a transformative paradigm, enabling efficient integration of computation and communication while addressing critical issues such as energy efficiency and system reliability. In response to these imperatives, the integration of net-zero solar wind-powered unmanned aerial vehicle (UAV)-assisted reconfigurable intelligent surface (RIS) with CFN systems emerges as a pivotal solution for enabling URLLC services. This integration not only meets stringent computation requirements but also minimizes environmental impact, paving the way for sustainable and reliable next-generation networks. In addressing this challenge, our proposed solution, named Zero SolarWing, harnesses renewable energy sources, specifically solar and wind power, to sustainably power UAV coupled with RIS technology. This innovative integration not only reduces carbon emissions but also enhances ultra-high reliability. Our approach includes the formulation of a minimization problem aimed at mitigating total decoding error subject to blocklength allocation and UAV positioning. Through comprehensive simulation studies, we demonstrate the convergence and superior performance of our proposed method compared to fixed benchmarks. Lastly, we show feasibility of our approach in achieving a net-zero system where harvested and consumed energies are equivalent as well as attaining optimal UAV positioning to minimize total decoding error.