11 citations · 21 across the 10 of their papers we have counts for
5 papers · 1 filter
Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks
Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4
Distributed edge learning (DL) is considered a cornerstone of intelligence enablers, since it allows for collaborative training without the necessity for local clients to share raw…
Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks
Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4
Distributed learning (DL) is considered a cornerstone of intelligence enabler, since it allows for collaborative training without the necessity for local clients to share raw data…
Environment-Aware Scheduling of URLLC and Sensing Services for Smart Industries
Navid Keshtiarast, Pradyumna Kumar Bishoyi, Marina Petrova
In this paper, we address the problem of scheduling sensing and communication functionality in an integrated sensing and communication (ISAC) enabled base station (BS) operating in…
Wireless MAC Protocol Synthesis and Optimization with Multi-Agent Distributed Reinforcement Learning
Navid Keshtiarast, Oliver Renaldi, Marina Petrova
In this letter, we propose a novel Multi-Agent Deep Reinforcement Learning (MADRL) framework for Medium Access Control (MAC) protocol design. Unlike centralized approaches, which r…
Modeling and Performance Analysis of CSMA-Based JCAS Networks
Navid Keshtiarast, Pradyumna Kumar Bishoyi, Marina Petrova
Joint communication and sensing (JCAS) networks are envisioned as a key enabler for a variety of applications which demand reliable wireless connectivity along with accurate and ro…