11 citations · 21 across the 10 of their papers we have counts for
10 papers
Dynamic Interference Management for TN-NTN Coexistence in the Upper Mid-Band
Pradyumna Kumar Bishoyi, Chia Chia Lee, Navid Keshtiarast +1
The coexistence of terrestrial networks (TN) and non-terrestrial networks (NTN) in the frequency range 3 (FR3) upper mid-band presents considerable interference concerns, as dense…
Coexistence analysis of Wi-Fi 6E and 5G NR-U in the 6 GHz band
Navid Keshtiarast, Marina Petrova
The ever-increasing demand for broadband and IoT wireless connectivity has recently urged the regulators around the world to start opening the 6 GHz spectrum for unlicensed use. Th…
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…
When Next-Gen Sensing Meets Legacy Wi-Fi: Performance Analyses of IEEE 802.11bf and IEEE 802.11ax Coexistence
Navid Keshtiarast, Pradyumna Kumar Bishoyi, Ido Manuel Lumbantobing +1
Sensing is emerging as a vital future service in next-generation wireless networks, enabling applications such as object localization and activity recognition. The IEEE 802.11bf st…
Demo: Testing AI-driven MAC Learning in Autonomic Networks
Leonard Paeleke, Navid Keshtiarast, Paul Seehofer +4
6G networks will be highly dynamic, re-configurable, and resilient. To enable and support such features, employing AI has been suggested. Integrating AIin networks will likely requ…
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…
ML Framework for Wireless MAC Protocol Design
Navid Keshtiarast, Marina Petrova
Adaptivity, reconfigurability and intelligence are key features of the next-generation wireless networks to meet the increasingly diverse quality of service (QoS) requirements of t…
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…