Flash flooding is a serious challenge for many cities, particularly where heavy rainfall can quickly overwhelm drainage systems and threaten populated areas. In Erbil, the capital of the Kurdistan Region of Iraq, a new AI-driven flood early warning system is demonstrating how Internet of Things (IoT) connectivity, environmental sensors and artificial intelligence can work together to improve disaster preparedness. The system has been developed and deployed by local technology company TimeNet , using TEKTELIC KONA Macro LoRaWAN gateways to provide connectivity across Erbil and surrounding areas. The deployment uses eight strategically positioned gateways to connect a distributed network of environmental monitoring sensors, providing continuous information about changing weather conditions and potential flood risks. The monitoring infrastructure collects information from several types of sensors, including river water level sensors, rain gauges, temperature sensors, lightning detectors,...
We have looked at several approaches to improving millimetre-wave (mmWave) connectivity on this blog, including transparent antennas, metasurfaces and, more recently, KDDI and JR East's demonstration of bringing 28 GHz signals inside railway carriages. While these technologies address challenges such as signal penetration and coverage, another important problem is maintaining stable connectivity when vehicles are moving between different antenna coverage areas. This is something that NTT DOCOMO, NEC and NTT have been investigating through their work on distributed MIMO (Multiple-Input Multiple-Output) technology. In May 2026, NTT DOCOMO and NEC, in collaboration with NTT, announced the successful demonstration of a technique that allows multiple vehicles travelling at speed to maintain more stable, high-capacity wireless communications using the 40 GHz mmWave band. The work builds on their earlier research and is being positioned as an important step towards future 6G application...