6 citations · 6 across the 4 of their papers we have counts for
5 papers · 1 filter
Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective
Hanju Yoo, Dongha Choi, Songkuk Kim +2
Semantic communication systems often use end-to-end neural networks to map input data into continuous symbols. These symbols, which are essentially neural network features, have fi…
Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications
Hanju Yoo, Dongha Choi, Yonghwi Kim +4
Semantic communications aim to enhance transmission efficiency by jointly optimizing source coding, channel coding, and modulation. While prior research has demonstrated promising…
The Tri-Hybrid MIMO Architecture
Robert W. Heath, Joseph Carlson, Nitish Vikas Deshpande +3
We present an evolution of multiple-input multiple-output (MIMO) wireless communications known as the tri-hybrid MIMO architecture. In this framework, the traditional operations of…
Embracing Reconfigurable Antennas in the Tri-hybrid MIMO Architecture for 6G and Beyond
Miguel Rodrigo Castellanos, Siyun Yang, Chan-Byoung Chae +1
Multiple-input multiple-output (MIMO) communication has led to immense enhancements in data rates and efficient spectrum management. The evolution of MIMO, though, has been accompa…
Next-slot OFDM-CSI Prediction: Multi-head Self-attention or State Space Model?
Mohamed Akrout, Faouzi Bellili, Amine Mezghani +1
The ongoing fifth-generation (5G) standardization is exploring the use of deep learning (DL) methods to enhance the new radio (NR) interface. Both in academia and industry, researc…