Resource Allocation for AI-RAN Coexistence on Shared O-Cloud

Develop resource management mechanisms that allocate GPU cycles, memory, and I/O across sensing dApps, AI inference models, and the communication stack on shared O-Cloud infrastructure while preventing quality-of-service degradation.

Background

The proposed architecture colocates sensing dApps and communication functions on shared accelerated O-Cloud infrastructure, creating contention for GPUs, memory, and I/O. Dynamic partitioning is needed to satisfy both sensing and connectivity requirements.

The authors explicitly state that AI-RAN coexistence raises open resource-allocation challenges that require mechanisms to ensure QoS.

References

Several open challenges remain. AI-RAN coexistence poses resource-allocation challenges: sensing dApps and AI inference models compete with the communication stack for GPU cycles, memory, and I/O on shared O-Cloud infrastructure, requiring mechanisms to prevent QoS degradation.

— Enabling Programmable Inference and ISAC at the 6GR Edge with dApps  (2603.29146 - Polese et al., 31 Mar 2026) in Section 6, Conclusion and Open Challenges

The open challenge is therefore how to connect this intelligent perception layer with agentic decision-making and RF sensing tools in a single on-device system, allowing an agent to select, configure, and combine sensing capabilities as needed under the compute, memory, power, and timing constraints of the target hardware and application.

— Agentic RF Intelligence: Multi-Timescale 6G Sensing and Reasoning with On-Device Foundation Models  (2610.03139 - Fontaine et al., 2 Oct 2026) in Section 1, Introduction

However, efficiently combining strict RAN latency guarantees, with transmission slots as short as 0.5 ms for commonly used 5G numerologies, and fine-grained, low-overhead reallocation of GPU resources to co-located AI workloads remains an open challenge.

— ScaleRAN: A Runtime for Elastic GPU Resource Management in AI-RAN  (2610.23072 - Hamard et al., 16 Oct 2026) in Section 1, Introduction