Channel state information (CSI) plays a vital role in adaptive transmission systems, which
adapt their transmission parameters to instantaneous channel conditions. However, the CSI …

In this paper, we aim to efficiently and accurately predict the static channel impulse response
(CIR) with only the user's position information and a set of channel instances obtained within …

With the depletion of spectrum, wireless communication systems turn to exploit large
antenna arrays to achieve the degree of freedom in the space domain, such as millimeter …

In this letter we apply deep learning tools to conduct channel estimation for an orthogonal
frequency division multiplexing (OFDM) system based on downlink pilots. To be specific, a …

This paper investigates task-oriented communication for edge inference, where a low-end
edge device transmits the extracted feature vector of a local data sample to a powerful edge …

Extremely large-scale massive MIMO (XL-MIMO) has been reviewed as a promising
technology for future wireless communications. The deployment of XL-MIMO, especially at …

This paper presents a novel method for synthesizing new physical layer modulation and
coding schemes for communications systems using a learning-based approach which does …

We introduce a novel physical layer scheme for single user Multiple-Input Multiple-Output
(MIMO) communications based on unsupervised deep learning using an autoencoder. This …

The recent revival of AI is revolutionizing almost every branch of science and technology.
Given the ubiquitous smart mobile gadgets and IoT devices, it is expected that a majority of …

This letter presents our initial results in deep learning for channel estimation and signal
detection in orthogonal frequency-division multiplexing (OFDM) systems. In this letter, we …