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cs.IT2026

Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory

Christo Kurisummoottil Thomas, Walid Saad, Emilio Calvanese Strinati

Physical artificial intelligence (AI) systems involve distributed sensing agents with embedded AI models that must coordinate to perceive, reason, and act in networked environments…

cs.IT2026

Jitter Performance Evaluation for Resilient Vehicular Systems

Pratiti Paul, Christo K. Thomas, Walid Saad +2

In this paper, the challenge of resilient vehicular communications is investigated for a vehicle-to-vehicle (V2V) wireless link subject to timing jitter induced by the stochastic e…

cs.IT2026

Fundamental Limits of Quantum Semantic Communication via Sheaf Cohomology

Christo Kurisummoottil Thomas, Mingzhe Chen

Semantic communication (SC) enables bandwidth-efficient coordination in multi-agent systems by transmitting meaning rather than raw bits. However, when agents employ heterogeneous…

cs.IT2025

Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access

Aswin Arun, Christo Kurisummoottil Thomas, Rimalpudi Sarvendranath +1

Despite the advantages of multi-agent reinforcement learning (MARL) for wireless use case such as medium access control (MAC), their real-world deployment in Internet of Things (Io…

cs.IT2025

Next-Generation Sustainable Wireless Systems: Energy Efficiency Meets Environmental Impact

Christo Kurisummoottil Thomas, Omar Hashash, Kimia Ehsani +1

Aligning with the global mandates pushing towards advanced technologies with reduced resource consumption and environmental impacts, the sustainability of wireless networks becomes…