RFML-Driven Spectrum Prediction: A Novel Model-Enabled Autoregressive Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3190691
Abstract: Spectrum prediction is of crucial importance for realizing the cognitive Internet of Things to tackle the spectrum scarcity problem. Deep-learning-based spectrum prediction methods have attracted extensive attention due to their superior accuracy. However, the training… read more here.
Keywords: network; driven spectrum; prediction; scheme ... See more keywords
Data-Driven Spectrum Partition for Multiplexing URLLC and eMBB
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2022.3231690
Abstract: Multiplexing ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) are critical in the next generation mobile network. URLLC requires ultra-high reliability and extremely low latency, whereas eMBB demands high data rates. Thus, the coexistence… read more here.
Keywords: urllc embb; driven spectrum; embb; spectrum partition ... See more keywords