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cs.NI2026

From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks

Christo Kurisummoottil Thomas, Omar Hashash, Walid Saad

Despite advances in artificial intelligence (AI) across multiple sectors, today's AI tools, including deep learning and generative AI, still fail when embedded into physical system…

cs.NI2026

Dynamic Hypergame for Task Assignment in Multi-platform Mobile Crowdsensing Under Incomplete Information

Sumedh J. Dongare, Christo Kurisummoottil Thomas, Andrea Ortiz +2

Mobile crowdsensing (MCS) is a promising distributed sensing paradigm for future wireless networks, where MCS platforms (MCSPs) recruit mobile units (MUs) through monetary incentiv…

cs.NI2025

Vision and Causal Learning Based Channel Estimation for THz Communications

Kitae Kim, Yan Kyaw Tun, Md. Shirajum Munir +3

The use of terahertz (THz) communications with massive multiple input multiple output (MIMO) systems in 6G can potentially provide high data rates and low latency communications. H…

cs.NI2025

Flexible Semantic-Aware Resource Allocation: Serving More Users Through Similarity Range Constraints

Nasrin Gholami, Neda Moghim, Behrouz Shahgholi Ghahfarokhi +4

Semantic communication (SemCom) aims to enhance the resource efficiency of next-generation networks by transmitting the underlying meaning of messages, focusing on information rele…

cs.NI2025

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…