Hopes and Challenges in Combining UWB and Deep Learning

The combination of ultra-wideband (UWB) tech- nology and deep learning algorithms can have a significant impact on various applications in the fields of wireless com- munication and real-time monitoring. Some of the key ap- plications include quality of service (QoS) improvement in UWB-based networks, security enhancement in UWB-based networks, multi-user detection in dense environments, and real-time monitoring. Deep learning algorithms can address challenges such as network congestion, interference, hacking attempts, eavesdropping, and the detection and classification of multiple devices. The use of deep learning can improve the overall performance of UWB-based systems and enable real- time monitoring with high data rates, low power consumption, security, and reliability

کلیدواژه ها:

Ultra-Wideband (UWB) ، Deep Learning ، Wireless Communication ، Non Line of Sight(NLOS) ،