39 papers
EBGT: Epistemology-aided Bayesian Game Theory for Uplink Power Control in Stochastically Distributed IoT Tiers
Nirmal D. Wickramasinghe, Indrakshi Dey, Dirk Pesch +1
Uplink power control in dense, heterogeneous Internet-of-Things (IoT) tiers is fundamentally limited by incomplete channel-state information (CSI) and mutual interference, while lo…
Certifying Collective Reasoning in Multi-Agent Systems via Koopman Spectral Analysis
Nuzhat Khan, Indrakshi Dey
Orchestrated collectives of large language model (LLM) agents that debate and vote are an emerging form of computational intelligence: the intelligent behaviour resides in the \emp…
A Conductance Based Amygdala Model of Threat Processing in Anxiety and Depression
Malik Faizan, P. J. White, Indrakshi Dey
Anxiety and depressive disorders are increasingly viewed as dysregulations along continuous stress-regulatory dimensions. However, existing computational approaches seldom connect…
Degeneracy-Aware Resource Allocation for Resilient 6G RAN
Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti
Heterogeneous 6G radio access networks (RANs) must allocate resources reliably under interference, latency limits, imperfect channel state information (CSI), and architectural dive…
Advances in Wavelet Denoising for Communication Signals: From Parameter Selection Toward Data-Driven Optimization
Priyalakshmi Sheela, Indrakshi Dey
Wavelet denoising suppresses nonstationary, impulsive, and interference-like disturbances in communication signals, but its effectiveness depends on jointly selecting the transform…
Drift-Aware RL-based Wavelet Denoising for Network-Traffic Anomaly Detection
Priyalakshmi Sheela, Indrakshi Dey
Traffic-utilisation measurements for network monitoring are corrupted by additive noise and statistical drift: time-dependent change in the signal's mean, variance, distributional…