Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects

Integrated Sensing and Communication (ISAC), combined with data-driven approaches, has emerged as a highly significant field, garnering considerable attention from academia and industry. Its potential to enable wide-scale applications in the future sixth-generation (6G) networks has led to extensive recent research efforts. Machine learning (ML) techniques, including $K$-nearest neighbors (KNN), support vector machines (SVM), deep learning (DL) architectures, and reinforcement learning (RL) algorithms, have been deployed to address various design aspects of ISAC and its diverse applications. Therefore, this paper aims to explore integrating various ML techniques into ISAC systems, covering various applications. These applications span intelligent vehicular networks, encompassing unmanned aerial vehicles (UAVs) and autonomous cars, as well as radar applications, localization and tracking, millimeter wave (mmWave) and Terahertz (THz) communication, and beamforming. The contributions of this paper lie in its comprehensive survey of ML-based works in the ISAC domain and its identification of challenges and future research directions. By synthesizing the existing knowledge and proposing new research avenues, this survey serves as a valuable resource for researchers, practitioners, and stakeholders involved in advancing the capabilities of ISAC systems in the context of 6G networks.Comment: ISAC-ML surve

Smart grid infrastructure and renewable energy deployment: A conceptual review of Saudi Arabia

The transition towards smart grid introduces the potential for revolutionary changes in the present energy management systems. It provides the grid with the necessary functionalities to transform into a decentralized energy system, and integrate large-scale variable renewable energy sources with enhanced demand-side management. Saudi Arabia is among the countries with significant potential to generate electricity from renewable energy sources, especially solar. The development of smart energy, smart communication, and smart information systems to establish a state-of-the art smart grid that enables not only security and automation but also has the flexibility of integrating technological innovation in the upcoming years. The model developed is characterized as government-led, commercially-driven, based on technological readiness, and community-oriented with numerous projects systematically initiated targeting innovation, human resources development, and industrial viability. Therefore, this paper aims to highlight the trends associated while considering the case scenario of the country and outlining the challenges and potential solutions with the establishment of smart grids