Sustainable Load Balancing for Wireless Networks With Renewable Energy Sources
This work addresses energy stability in wireless networks for critical scenarios like large gatherings, but it is incremental as it builds on existing proactive-reactive methods.
The paper tackles the problem of maintaining wireless network performance during energy shortages from renewable sources by proposing an enhanced load balancing algorithm that integrates energy conditions into mobility management, resulting in improved energy sustainability and network performance under congestion and limited solar availability.
Future wireless networks powered by renewable energy sources and storage systems (e.g., batteries) require energy-aware mechanisms to ensure stability in critical and high-demand scenarios. These include large-scale user gatherings, especially during evening hours when solar generation is unavailable, and days with poor wind conditions that limit the effectiveness of wind-based energy harvesting. Maintaining network performance under such constraints, while preserving stored energy, remains a key challenge. This work proposes an enhanced Proactive-Reactive Load Balancing algorithm that integrates energy conditions into mobility management. By leveraging standardized mobility events, the algorithm optimizes traffic distribution and energy utilization (avoiding complete drainage of stored energy), thereby preventing service degradation. Simulations show improved energy sustainability and network performance under congestion and limited solar availability.