… In this section, we are going to present the learning based end-to-end communication
paradigm for general wireless channels in detail, where the overview of the training algorithm, the …

… In the cooperative spectrum sensing paradigm, [8] presents reinforced learning methods
to reduce the sensing overhead by releasing network flow congestion. Most of the learning-…

… Deep learning methods based on artificial neural networks (ANNs) have recently been able
to solve many learning problems. The rise of the deep learning paradigm has mainly been …

… a paradigm shift from conventional e-learning to m-learning (Rushby, 2005) and another from
m-learning to context-aware u-learning (Hwang, … Mobile devices wireless communications …

… migration learning method. In addition, changes in the wireless communication environment
… the learning and evolution of the wireless communication environment. In this case, novel …

… The wireless technologies of the mobile revolution have seen the worldwide proliferation of
wireless communication devices. Mobile learning is unique because learners can access the …

… In this paper, we study a novel wireless communication paradigm for IRS-based SR systems.
We consider a network consisting of a BS, an IRS, and an information receiver (IR). The BS …

… present the socialized learning scheme from three perspectives. First, we design a cognitive
paradigm of socialized learning to enlighten the long-term vision of applying learning-based …

… In this article, variant aspects of selforganization paradigms in cognitive radio networks,
including critical functionalities of MACand network-layer operations, are surveyed. The main …

… the traditional communication blocks, deep learning provides a new paradigm for future … As
a pure data-driven method, the features and the parameters of a deep learning model can be …