Workshop during
The 29th Conference on Innovation in Clouds, Internet and Networks (ICIN 2026)
March 30-April 02, 2026, in Athens, Greece
CALL FOR PAPERS
The 29th Conference on Innovation in Clouds, Internet and Networks (ICIN 2026)
March 30-April 02, 2026, in Athens, Greece
Workshop:
Title: Machine Learning, Deep Learning and Computational intelligence for CSI Compression and Semantic Communication
Motivation: The explosive growth of data and demand for ultra-reliable, low-latency communication necessitates a paradigm shift from traditional bit-level transmission to Semantic Communication. This workshop aims to provide a focused platform for researchers from the Machine Learning (ML) / Deep Learning (DL) / Computational Intelligence (CI) and Wireless Communication communities to collaborate.
The primary objective is to explore and leverage existing, well-established ML/DL/CI algorithms to address crucial challenges in Channel State Information (CSI) Compression and the implementation of robust and efficient Semantic Communication systems. By bridging these two critical fields, the workshop seeks to foster novel, promising solutions that optimize resource utilization and elevate the intelligence of future wireless networks.
We invite submissions detailing original, unpublished research that utilizes advanced computational intelligence techniques to enhance the semantic and efficiency aspects of wireless communication.
We welcome theoretical and experimental contributions across various facets of this emerging field. Specific areas of interest include, but are not limited to, the application of Dimensionality Reduction techniques for Semantic Communication classification tasks, such as PCA, LDA, KLDA, and ICA. We are keenly interested in exploring Semantic Communication systems utilizing Large Language Models (LLMs), as well as solutions for Semantic Communication for regression tasks. Further critical areas involve the design of Robust precoders for Semantic Communication under various channel models, and the investigation of complex communication scenarios like Multi-source Semantic Communication and Multi-task Semantic communication. The workshop also welcomes papers focusing on the integration of semantic principles with advanced physical layer technologies, specifically MIMO-OFDM based semantic communication, OTFS based semantic communication, NOMA based semantic communication, and IRS based semantic communication. Finally, a core focus remains on foundational efficiency problems, specifically CSI Compression and Estimation techniques.
Goal: The objective of the workshop to explore the usage of existing well established Machine Learning/ Deep learning and Computational intelligence algorithms for CSI Compression and semantic communication. The workshop acts as the platform for research scholars from Machine learning area and Communication area to work together to achieve the promising solutions to Semantic Communication.
Topics include the following (Not limited to)
1. Dimensionality reduction techniques for Semantic Communication for classification that include PCA, LDA, KLDA, ICA etc .
2. Semantic communication using Large Language Model
3. Robust precoder design for Semantic Communication with various channel model
4. Semantic communication for regression
5. Multi-source Semantic Communication
6. Multi-task Semantic communication
7. MIMO-OFDM based semantic communication
8. OTFS based semantic communication
9. NOMA based semantic communication
10. IRS based semantic communication
11. CSI Compression and Estimation
Workshop paper submission deadline: January 4, 2026
Acceptance notification: January 18, 2026
Camera-ready paper submission: January 25, 2026
Link to the main conference: https://www.icin-conference.org/ml-dl-ci-in-csic-sc/