… Considering these challenges, we present a hybrid optimization scheme with adaptive
congestion-aware modeling to perform intelligent spectrum sensing and resource allocation in a …

… spectrum sensing policy based on an LSTM-based algorithm. The current technique selects
those channels for sensing … POMDP framework-based spectrum allocation strategy to the CR…

… spectrum sensing scheme, called hybrid spectrum sensing, … When the network node
allocation is optimal, the average … and allocation time by 0.63% and 18.32%, respectively [10]. …

… has been specifically allocated 75 MHz of spectrum for vehicle- to… The researchers introduce
a congestion- aware message (… “Machine learning based misbehaviour detection in VANET …

… The 5.9 GHz band has been allocated 75 MHz of spectrum … ], researchers introduce a
congestion-aware message (CAM) … have proposed machine learning-based algorithms for …

… Hybrid based, Priority-based approach) and (Swarm Intelligence, Fuzzy logic, Game Theory
and Machine Learning based … review of various congestion aware MAC protocols for WSNs, …

… Our proposed framework comprises a three-tier hierarchical architecture for AMI
applications, a machine-learning-based hierarchical clustering approach, and a priority-based …

… Dias, “Hybrid machine learning-based spectrum sensing and allocation with adaptive
congestion-aware modeling in CR-assisted IoV networks,” IEEE Internet Things J., vol. 9, no. 24, pp…

… Hybrid Control Refers to the utilization of various congestion control … Yes This research
analyses a few machine-learning-based … RQ10: How are articles related to congestion-aware …

… -adaptive spectrum resource allocation method under the same condition with our method.
In distance-adaptive … That is to say, the introduced machine learning-based method is user-…