76 citations · 165 across the 11 of their papers we have counts for
5 papers · 1 filter
Closing the Semantic-Edge Gap: Tiny Language Models for 6G Wireless Intelligence
Srikanth Kamath, Arnav Mathur, Joslyn Sajan George +1
Sixth-generation (6G) wireless networks are envisioned as AI-native systems in which semantic communication - transmitting task-relevant meaning rather than raw bits - moves beyond…
Bridging the Semantic Gap in 6G: Tiny Language Models Under the Latency-Accuracy-Size Trilemma
Arnav Mathur, Garima Mathur, Rahul Jashvantbhai Pandya
Sixth-generation (6G) wireless networks are expected to serve as AI-native infrastructure, transmitting meaning rather than mere bits -- a shift that makes semantic communication t…
Semantic Communication for 6G Networks: A Trade-off between Distortion Criticality and Information Representability
Faizan Shafi, Rahul Jashvantbhai Pandya, Christo Kurisummoottil Thomas +1
In this work, a self-attention based conditional generative adversarial network (SA-cGAN) framework for the sixth generation (6G) semantic communication system is proposed, explici…
Deep Learning Based Load Balancing for improved QoS towards 6G
Vishnu Vardhan Nimmalapudi, Ajith Kumar Mengani, Roopa Vuppula +1
Deep learning has made great strides lately with the availability of powerful computing machines and the advent of user-friendly programming environments. It is anticipated that th…
AEVB-Comm: An Intelligent CommunicationSystem based on AEVBs
Raghu Vamshi Hemadri, Akshay Rayaluru, Rahul Jashvantbhai Pandya
In recent years, applying Deep Learning (DL) techniques emerged as a common practice in the communication system, demonstrating promising results. The present paper proposes a new…