5 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…
Epistemology-Inspired Bayesian Games for Distributed IoT Uplink Power Control
Nirmal D. Wickramasinghe, John Dooley, Dirk Pesch +1
Massive number of simultaneous Internet of Things (IoT) uplinks strain gateways with interference and energy limits, yet devices often lack neighbors' Channel State Information (CS…
Optimization of Bottlenecks in Quantum Graphs Guided by Fiedler Vector-Based Spectral Derivatives
John TM Campbell, John Dooley
This paper discusses the relationships between the Fiedler vector, the Cheeger constant, and threshold behaviors in networks of quantum resource nodes represented as Quantum Direct…
Auction-based Adaptive Resource Allocation Optimization in Dense and Heterogeneous IoT Networks
Nirmal D. Wickramasinghe, John Dooley, Dirk Pesch +1
Efficient and reliable resource allocation within densely-deployed massive IoT networks remains a key challenge due to resource constraints among low-size, weight, and power (SWaP)…
Testing Link Fidelity in a Quantum Network using Operational Form of Trace Distance with Error Bounds
John T. M. Campbell, Nicola Marchetti, John Dooley +1
Quantum state comparison, utilizing metrics like fidelity and trace distance, underpins the assessment of quantum networks within quantum information theory. While recent research…