MP1b.2

Goal-oriented Communications based on Recursive Early Exit Neural Networks

Jary Pomponi, Alessio Devoto, Paolo Di Lorenzo, Simone Scardapane, Sapienza, University of Rome, Italy
Session:
MP1b: Semantic and Goal-Oriented Communications Lecture
Track:
Communication Systems
Location:
Heather
Presentation Time:
Mon, 28 Oct, 15:55 - 16:20 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MP1b
MP1b.1: Efficient Semantic Communications Through Transformer-Aided Compression
Matin Mortaheb, University of Maryland, United States; Mohammad A. (Amir) Khojastepour, NEC Laboratories America, United States; Sennur Ulukus, University of Maryland, United States
MP1b.2: Goal-oriented Communications based on Recursive Early Exit Neural Networks
Jary Pomponi, Alessio Devoto, Paolo Di Lorenzo, Simone Scardapane, Sapienza, University of Rome, Italy
MP1b.3: Deep Unfolding Based Precoding for Task-Oriented Semantic Communications Over MIMO Channels
Chang Cai, The Chinese Universty of Hong Kong, Hong Kong SAR of China; Xiaojun Yuan, University of Electronic Science and Technology of China, China; Ying-Jun Angela Zhang, The Chinese Universty of Hong Kong, Hong Kong SAR of China
MP1b.4: Goal-oriented Real-time Tracking in a Status Update System Under Imperfect Feedback
Saeid Sadeghi Vilni, Abolfazl Zakeri, University of oulu, Finland; Mohammad Moltafet, University of California at Santa Cruz, United States; Marian Codreanu, Linköping University, Sweden
Contacts