Hydra-RAN: Multi-Functional Communications and Sensing Networks Applications: Intelligent Parking Systems

Smart cities and intelligent transportation systems, particularly parking management, present considerable challenges in urban settings due to the impact of dynamic and stochastic factors such as resource availability, temporal fluctuations, traffic dynamics, and urban planning. The intricate interplay of these elements complicates efficient parking management, often leading to inefficiencies and suboptimal outcomes. Addressing these challenges requires a comprehensive approach that considers the dynamic and unpredictable nature of these variables. As a result, there is an urgent need for the development of an innovative network architecture capable of integrating diverse networks, services, and modern technologies into a unified and cohesive infrastructure. The Hydra Radio Access Network (H-RAN) is envisioned as a comprehensive platform designed to consolidate existing networks and technologies into a cohesive, integrated framework. This advanced architecture promotes a synergistic environment, enabling the simultaneous operation of multiple networks and applications. Among the wide array of applications and services supported by H-RAN, this paper specifically emphasizes its perceptive and intelligent parking solutions. By utilizing multi-sparse input and multi-task learning (SMTL), H-RAN facilitates the intelligent classification and allocation of vacant parking slots to vehicles at the network edge. These solutions leverage the capabilities of H-RAN by incorporating real-time data, integrating edge computing, and employing advanced semantic communication techniques, representing a significant leap forward in the management of parking spaces. Our proposed solution demonstrates a 50% reduction in communication overhead, 75% improved real-time decision-making accuracy, and enhanced scalability in modern urban environments. These results have significant implications e.g., reducing operational costs, improving resource utilization, and supporting sustainable urban development.