Hydra Radio Access Network (H-RAN): Multi-Functional Communications and Sensing Networks, Adaptive Power Control, and Interference Coordination

The increasing urgency for innovative cohesive networks stems from the necessity to integrate various networks, services, and modern technologies. Researchers are progressing in integrating diverse networks, modern technologies, and services through cohesive networks to facilitate more streamlined operations. A unified infrastructure enables effective data sharing from various sources, breaking down silos that typically hinder data exchange. Hydra radio access networks (H-RANs) are designed to achieve researchers' ambitious objectives by seamlessly combining diverse networks and technologies into a single, intelligent, perceptive, and dense infrastructure. However, the proliferation of dense deployments of traditional wireless local area networks (WLANs) is significantly contributing to excessive power consumption and encountering substantial interference challenges. In this paper, we propose a novel collaborative approach utilizing the H-RAN perceptual network architecture for distance-based adaptive power control and interface mitigation. By harnessing this integration into a cooperative multi-sparse input/multi-task learning-based federated learning (C-SMTL) framework. The cooperative architecture adeptly addresses the challenges associated with dynamic power control and interference coordination. Simulation results show that our strategy significantly improves network performance. This is done by achieving high throughput capacity, reducing interference by 90%, and maintaining high efficiency even with increasing user density.