Literature Database Entry

basaran2026brain

Osman Tugay Basaran, Martin Maier and Falko Dressler, "BRAIN: Bayesian Reasoning via Active Inference for Explainable Mobile Networks," Proceedings of 45th IEEE International Conference on Computer Communications (INFOCOM 2026), AI Native Distributed Intelligence for 6G Networks (6G AI-RAN 2026), Tokyo, Japan, May 2026. (to appear)

Abstract

Emerging sixth-generation (6G) solutions demand learning agents that are not only autonomous and efficient, but also robust in dynamic environments and transparent in decision making. However, conventional deep reinforcement learning (DRL) approaches for mobile networks lack sufficient explainability and suffer catastrophic forgetting under dynamic conditions. In this paper, we propose a Bayesian reasoning-based explainable deep active inference (BRAIN) model, the embodied AI-inspired approach applied to mobile networks. BRAIN employs a deep generative model and minimizes variational free energy to unify perception (Bayesian state estimation) and action (resource allocation) in a single framework. Unlike DRL baselines, our agent inherently eliminates catastrophic forgetting through continuous belief updates without retraining and provides built-in explainability by exposing posterior beliefs and free energy components at runtime. Deployed as an eXtended application (xApp) on an Open, GPU-accelerated, AI-RAN testbed; BRAIN demonstrates (i) causal reasoning for slice-specific quality of service (QoS) adherence (throughput/latency/reliability), (ii) 28.3% higher robustness to traffic shifts versus DRL baselines, and (iii) real-time interpretability of resource-allocation decisions via operator-accessible belief states.

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Osman Tugay Basaran
Martin Maier
Falko Dressler

BibTeX reference

@inproceedings{basaran2026brain,
    author = {Basaran, Osman Tugay and Maier, Martin and Dressler, Falko},
    note = {to appear},
    title = {{BRAIN: Bayesian Reasoning via Active Inference for Explainable Mobile Networks}},
    publisher = {IEEE},
    address = {Tokyo, Japan},
    booktitle = {45th IEEE International Conference on Computer Communications (INFOCOM 2026), AI Native Distributed Intelligence for 6G Networks (6G AI-RAN 2026)},
    month = {5},
    year = {2026},
   }
   
   

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Last modified: 2026-04-27