We address the problem of learning an efficient and adaptive physical layer encoding to
communicate binary information over an impaired channel. In contrast to traditional work, we …

In this article we exploit the potential correlation existing between multiple information
sources to achieve additional coding gains from the channel codes used for data protection …

We present a turbo (iterative) equalization receiver with fixed-lag nonlinear Kalman filtering
for coded data transmission over doubly-selective channels. The proposed receiver exploits …

We propose and practically demonstrate a joint detection and decoding scheme for short-
packet wireless communications in scenarios that require to first detect the presence of a …

This paper introduces a new approach for joint convolutional coding and decision feedback
equalization (DPE). To minimize error propagation, the DFE uses a combination of soft …

Data-dependent superimposed training (DDST) scheme has shown the potential to achieve
high bandwidth efficiency, while encounters symbol misidentification caused by hardware …

In this article, we use deep neural networks (DNNs) to develop an end-to-end wireless
communication system, in which DNNs are employed for all signal-related functionalities …

This paper deals with turbo-equalization as a joint equalization and decoding algorithm. The
performance analysis shows that there is a trigger point in this iterative process, followed by …

In this paper, we deploy the self-attention mechanism to achieve improved channel
estimation for orthogonal frequency-division multiplexing waveforms in the downlink …

Improving the accuracy of channel estimation is a significant topic in the context of wireless
communications. For training-based channel estimations, increasing the length of a training …