… interference cancellation using neural networks We believe that the problem of interference
in wideband cellular communication can be addressed using neural networks. In the training …

… of SIC and Q-learning but they are applied to cellular networks, some of them do … learning
both to an SIC-enabled wireless network and to an interference avoidance wireless network …

… -interference cancellation is the key to enable IBFD wireless. This paper proposes a real-time
nonlinear self-interference cancellation solution: Deep learning … improved wireless network …

… learningaided SIC detector termed SICNet, which replaces the interference cancellation blocks
of SIC by deep neural networks (… learning: The road to Pareto-optimal wireless networks,” …

… Abstract—To further improve spectral efficiency for current wireless communication systems,
we propose a new lazy learningbased cancellation approach to suppress self-interference (…

… learning-based cancellation approach to improve spectral efficiency for current wireless
communication systems, suppress self-interference … ) transmissions in cellular networks. Our …

… interference is one of the major challenges in feasible implementation of a full-duplex (FD)
wireless communication … approaches to digital self-interference cancellation (SIC) techniques. …

… FDD) wireless communications, FD wireless communication can increase and even double
the capacity of a wireless network [… where is the learning rate that controls the step size of the …

… include wireless networking and communications, cognitive radio, symbiotic radio, dynamic
spectrum access, Internet-of-Things, artificial intelligence, and machine learning techniques. …

… a deep learning-based successive interference cancellation (… access (NOMA) communication
systems is investigated. … /6G wireless communication and in wireless sensor networks with …