803 citations · 2.6k across the 256 of their papers we have counts for
6 papers · 1 filter
Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing
Yalin E. Sagduyu, Tugba Erpek, Aylin Yener +1
This paper explores opportunities and challenges of task (goal)-oriented and semantic communications for next-generation (NextG) communication networks through the integration of m…
Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access
Yalin E. Sagduyu, Tugba Erpek, Aylin Yener +1
This paper introduces a deep learning approach to dynamic spectrum access, leveraging the synergy of multi-modal image and spectrum data for the identification of potential transmi…
Joint Sensing and Semantic Communications with Multi-Task Deep Learning
Yalin E. Sagduyu, Tugba Erpek, Aylin Yener +1
This paper explores the integration of deep learning techniques for joint sensing and communications, with an extension to semantic communications. The integrated system comprises…
Deep Learning-Based Real-Time Rate Control for Live Streaming on Wireless Networks
Matin Mortaheb, Mohammad A. Amir Khojastepour, Srimat T. Chakradhar +1
Providing wireless users with high-quality video content has become increasingly important. However, ensuring consistent video quality poses challenges due to variable encoded bitr…
Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning
Yalin E. Sagduyu, Tugba Erpek, Aylin Yener +1
This paper studies task-oriented, otherwise known as goal-oriented, communications, in a setting where a transmitter communicates with multiple receivers, each with its own task to…
Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspects
Yalin E. Sagduyu, Sennur Ulukus, Aylin Yener
Communications systems to date are primarily designed with the goal of reliable transfer of digital sequences (bits). Next generation (NextG) communication systems are beginning to…