most citedDemo: BeGREEN Intelligence Plane for AI-driven Energy Efficient O-RAN management

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CR2026

Privacy-Preserving Intent Fulfilment and Assurance for 6G RAN

Joss Armstrong

Intent-based network management is the emerging paradigm for 6G service lifecycle automation, with the 3GPP intent management framework (TS~28.312) defining creation, translation,…

cs.IT2026

Designed-Source Reductions and a Dual-Purpose Feasibility Band for Semantic Rate-Distortion

Joss Armstrong

The joint rate-distortion framework of Stavrou and Kountouris (IEEE Transactions on Communications 2023) characterises dual-fidelity tradeoffs for semantic communication on stochas…

cs.NI20261 cited

Demo: BeGREEN Intelligence Plane for AI-driven Energy Efficient O-RAN management

M. Catalan-Cid, D. Reiss, G. Castellanos +1

Cellular networks management is being enhanced by O-RAN architecture and AI/ML solutions, enabling automated intelligent control loops for RAN optimization across various use cases…

cs.LG2026

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination

Joss Armstrong

Foundation-model pools are increasingly used as black-box responders in coordinated systems where a coordinator must decide which response to trust. Raw self-reported confidence is…

cs.AI2026

BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems

Joss Armstrong

Compound AI systems route tasks through hierarchies of specialised components. Attribution is dominated by Shapley-based methods (SHAP), which decompose a coalition value function…

cs.GT2026

MISES: Minimal Information Sufficiency for Effective Service

Joss Armstrong

Category-based coordination mechanisms allocate resources by mapping a declared service category to a fixed resource profile, without observing individual demand types. We establis…