1.2k citations · 9.5k across the 261 of their papers we have counts for
23 papers · 1 filter
Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing
Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui +4
An adaptive standardized protocol is essential for addressing inter-slice resource contention and conflict in network slicing. Traditional protocol standardization is a cumbersome…
Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches
Jihong Park, Seung-Woo Ko, Jinho Choi +2
The forthcoming 6G systems are expected to address a wide range of non-stationary tasks. This poses challenges to traditional medium access control (MAC) protocols that are static…
Semantics Alignment via Split Learning for Resilient Multi-User Semantic Communication
Jinhyuk Choi, Jihong Park, Seung-Woo Ko +3
Recent studies on semantic communication commonly rely on neural network (NN) based transceivers such as deep joint source and channel coding (DeepJSCC). Unlike traditional transce…
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study
Fouzi Boukhalfa, Reda Alami, Mastane Achab +2
In today's era, autonomous vehicles demand a safety level on par with aircraft. Taking a cue from the aerospace industry, which relies on redundancy to achieve high reliability, th…
Deep Learning-Enabled Text Semantic Communication under Interference: An Empirical Study
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis
At the confluence of 6G, deep learning (DL), and natural language processing (NLP), DL-enabled text semantic communication (SemCom) has emerged as a 6G enabler since it minimizes b…
Latency-Aware Radio Resource Optimization in Learning-Based Cloud-Aided Small Cell Wireless Networks
Tamoor-ul-Hassan Syed, Samarakoon Sumudu, Bennis Mehdi +1
Low latency communication is one of the fundamental requirements for 5G wireless networks and beyond. In this paper, a novel approach for joint caching, user scheduling and resourc…