IEEE International Conference on Communications
9–13 June 2024 // Denver, CO, USA
Scaling the Peaks of Global Communications

Program

Thursday, 13 June
Time: 8:30 - 12:30
Location:  

Organizers:

  • David López-Pérez (Universitat Politècnica de València)
  • Antonio de Domenico (Huawei Paris Research Center)
  • Nicola Piovesan (Huawei Paris Research Center)
  • Merouane Debbah (Khalifa University of Science and Technology)
  • Lina Bariah, Technology Innovation Institute, UAE
  • Mischa Dohler, Ericsson Inc, Silicon Valley, USA
  • Honggang Zhang, Zhejiang Lab, China 

Detailed program

Thursday, Jun. 13th

Room TBD

09:00 - 11:00 

WS33-S1: LLMs and network intelligence

11:30 - 13:00

WS33-S2: LLMs and network performance optimization

Thursday, Jun. 13th, 09:00 - 11:00

WS33-S1: LLMs and network intelligence

Room: ?

Chair: Antonio de Domenico (Huawei Paris Research Center)

Session starts with two 30 min keynotes by

  • Sean Kennedy, Nokia Bell Labs
  • Xingqin Lin, NVDIA

Followed by 4 paper presentations of each

Title paper 1
Mohamad NabeelDoumitrou Daniil NimaraTahar Zanouda
Test Code Generation for Telecom Software Systems using Two-Stage Generative Model

Title paper 2
Tasnim AhmedNicola PiovesanAntonio De DomenicoSalimur Choudhury
Linguistic Intelligence in Large Language Models for Telecommunications

Title paper 3
Bhavani Arunkumar MadhabhaviGangadhar KarevvanavarRajshekhar Vishweshwar BhatNikolaos Pappas
Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off

Title paper 4
Raymond ForbesJohn C StrassnerYu Zeng
Transformers and Large Language Models as Used in ETSI ISG Experiential Networked Intelligence

11:00 – 11:15
Coffee break

Thursday, Jun. 13th, 11:15 - 13:00

WS13-S2: LLMs and network performance optimization

Room: ?

Chair: Nicola Piovesan (Huawei Paris Research Center)

Session starts with two 30 min keynotes by

  • Zhi-Quan (Tom) Luo, The Chinese University of Hong Kong, Shenzhen
  • John Strassner, Futurewei Technologies, Inc., USA

Title paper 1
Nathanael WeillLukasz TulczyjewKinan JarrahCharles AbondoDina Bennett
LLMcap: Large Language Model for Unsupervised PCAP Failure Detection

Title paper 2
Jaron FontaineAdnan ShahidEli De Poorter
Towards a Wireless Physical-Layer Foundation Model: Challenges and Strategies

Title paper 3
Matteo ZecchinKai YuOsvaldo Simeone
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models

 

Diamond Patrons

Silver Patrons

Bronze Patrons

Exhibitors