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From the 1 of 11 linked papers with an AI index.

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11 papers

cs.IT2026

System-Aware Adaptive CSI Feedback via RL-Guided Autoencoder Switching in Multi-User MIMO System

Maryam Ansarifard, Mohit K. Sharma, George Exarchakos +1

The paper introduces a reinforcement‑learning controller that selects among multiple pretrained autoencoders with different compression ratios to adaptively compress CSI feedback i…

cs.NI2026

Tool Use as Action: Towards Agentic Control in Mobile Core Networks

Purna Sai Garigipati, Onur Ayan, Kishor Chandra Joshi +1

Artificial Intelligence (AI) will play an essential role in 6G. It will fundamentally reshape the network architecture itself and drive major changes in the design of network entit…

cs.NI2026

Beyond State Machines: Executing Network Procedures with Agentic Tool-Calling Sequences

Purna Sai Garigipati, Onur Ayan, Kishor Chandra Joshi +1

Agentic AI will be an essential enabling technology for designing future mobile communication systems, which could provide flexible and customized services, automate complex networ…

cs.NI2026

Discrete Time Credit-Based Shaping for Time-Sensitive Applications in 5G/6G Networks

Anudeep Karnam, Kishor C. Joshi, Jobish John +3

Future wireless networks must deliver deterministic end-to-end delays for workloads such as smart-factory control loops. On Ethernet these guarantees are delivered by the set of to…

eess.SY2026

Transformer Actor-Critic for Efficient Freshness-Aware Resource Allocation

Maryam Ansarifard, Mohit K. Sharma, Kishor C. Joshi +1

Emerging applications such as autonomous driving and industrial automation demand ultra-reliable and low-latency communication (URLLC), where maintaining fresh and timely informati…

cs.DC2025

Morpheus: Lightweight RTT Prediction for Performance-Aware Load Balancing

Panagiotis Giannakopoulos, Bart van Knippenberg, Kishor Chandra Joshi +2

Distributed applications increasingly demand low end-to-end latency, especially in edge and cloud environments where co-located workloads contend for limited resources. Traditional…