The award-winning paper, titled “Scalable Multi-Modal Learning for Cross-Link Channel Prediction in Massive IoT Networks,” authored by Kun Woo Cho (Princeton University), Marco Cominelli (University of Brescia/CNIT), Francesco Gringoli (University of Brescia/CNIT), Joerg Widmer (IMDEA Networks), and Kyle Jamieson (Princeton University), introduces a groundbreaking solution to address the burgeoning demand for efficient uplink traffic in the realm of massive-scale IoT sensor networks.
Or paper “Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level” has got the Best Paper Runner-Up Award in the 17th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization (WiNTECH). The workshop will facilitate discussions on unresolved issues, including new laboratory methodologies, key real-life limitations of wireless technologies that have emerged over the past few years (e.g., mmWave, underwater, 5G, IoT, wearables, and SDN), as well as key challenges facing the wireless networking of the future.
The 29th edition of ACM MobiCom will be celebrated in Madrid and Joerg Widmer is the General Co-Chair. This is one the most important conferences in our research field. It is a highly selective, premier international forum addressing networks, systems, algorithms, and applications that support mobile computers and wireless networks. The WNG will be involved in the organization of the event.