Posts by Collection

portfolio

Portfolio item number 1

Short description of portfolio item number 1

Portfolio item number 2

Short description of portfolio item number 2

publications

Multi-Armed Bandits in IEEE 802.11ac: Efficient Algorithms and Testbed Experiments

Published in IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR), Seattle, WA, USA, 2024

Evaluates multi-armed bandit algorithms for rate adaptation in IEEE 802.11ac networks through real testbed experiments.

Recommended citation: Martin Le, Bile Peng, Sankalp Prakash Pawar, Peter Auer, Prashiddha Dhoj Thapa, et al. "Multi-Armed Bandits in IEEE 802.11ac: Efficient Algorithms and Testbed Experiments." IEEE CQR 2024.

Towards Infrastructure-assisted WiFi Rate Adaptation for Converged Networks with Morpheus

Published in 17th ACM Workshop on Mobility in the Evolving Internet Architecture (MobiArch), Washington, D.C., USA, 2024

Proposes Morpheus, an infrastructure-assisted WiFi rate adaptation approach for converged WiFi and cellular networks.

Recommended citation: Prashiddha Dhoj Thapa, Arne Kappen, and Julius Schulz-Zander. "Towards Infrastructure-assisted WiFi Rate Adaptation for Converged Networks with Morpheus." Proceedings of MobiArch 2024.

ORCA - Open-source Resource Control API for real WiFi networks

Published in 18th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization (WiNTECH), Washington, D.C., USA — Proceedings of ACM MobiCom 2024, 2024

Presents ORCA, an open-source API for resource control in real WiFi networks, demonstrated on a 40+ AP testbed.

Recommended citation: Sankalp Prakash Pawar, Prashiddha Dhoj Thapa, Jonas Jelonek et al. "ORCA - Open-source Resource Control API for real WiFi networks." Proceedings of WiNTECH 2024 (ACM MobiCom).

Interface on demand: Towards AI native Control interfaces for 6G

Published in Workshop on Next-Gen Networks through LLMs, Action Models, and Multi-Agent Systems (IEEE ICC 2025), Montreal, Canada, 2025

Explores AI-native control interfaces for 6G networks using LLMs, action models, and multi-agent systems.

Recommended citation: Abhishek Dandekar, Prashiddha Dhoj Thapa, Ashrafur Rahman, and Julius Schulz-Zander. "Interface on demand: Towards AI native Control interfaces for 6G." Proceedings of the IEEE ICC 2025.