…popularity of interruptibility research within our discipline, research focused on attention is surprisingly scarce. This omission may be due to (a combination of) methodological, technological, or disciplinary constraints. In this…
…In addition, we indicate the maximum achievable reliability as a function of the time threshold for a given probability of time underflow. The performance advantage of cooperative diversity compared to…
Reconfigurable intelligent surface (RIS)-aided communication is a promising technology for 6G systems to reconfigure the propagation environment proactively. However, it requires efficient real-time channel training, which suffers excessive overhead. To…
…The project will adapt and manage the fundamental networking and computational resources, design innovative algorithms based on AI and machine learning, and develop communication protocols, software systems and user interfaces….
…energy efficiency, enhanced connectivity, extended communication coverage, reduced complexity at transceivers, and even improved localization accuracy. However, to unleash their full potential, fundamentals related to RISs, ranging from physical-layer (PHY)…
…200 oC have recently become commercially available, and ceramics with nano particle size have been widely on the market. However, taking the high risk, ground-breaking challenge, ultimate novel materials and…
…from use as radars to channel analysers. With antenna arrays, radio energy can be directed precisely, enabling effective sensing strategies. Computer vision and radio communications face similar hurdles, suggesting that…
…provides unique characteristics to the IoT system reconfigured to use optical, radio or both connectivity approaches. This hybrid system will combine the advantages of both wireless communication methods. The energy-autonomous…
…on-demand wireless service to cellular users. In order to have a comprehensive analysis of cellular traffic, an ML framework based on a Gaussian mixture model and a weighted expectation maximization…
In this article, we propose a communication-efficient decentralized machine learning (ML) algorithm, coined quantized group ADMM (Q-GADMM) . To reduce the number of communication links, every worker in Q-GADMM communicates…