This paper proposes a method to explore the design space of quantum-classical applications using a formalization of an architectural style, enabling dynamic selection of the most suitable configuratio…

This paper proposes a value-based DCC method for Intelligent Transport Systems to maintain channel load while retaining more high-value objects.

This paper expands the Quality of Control (QoC) framework to address network-induced uncertainties in collaborative robotics, validating the models through experiments on a private 5G testbed.

Researchers present DoSQ, a protocol-aware attack that decodes Downlink Control Information (DCI) to degrade Application layer service quality in 5G NR systems, achieving up to 50% Goodput reduction a…

This paper proposes a framework for functional stability in edge computing systems, focusing on individual functions and their quality thresholds.

A novel multi-agent reinforcement learning algorithm, TC-GQN, is proposed for high-level control and orchestration of mobile networks, enabling energy savings while maintaining QoS.

This paper proposes a new approach for designing Radio Access Network (RAN) slices in 5G and beyond networks using descriptors that consider both transmission rate and latency requirements to support…

This paper compares Google's BBR-v3 Congestion Control Algorithm to eight others over SpaceX's Starlink network, demonstrating its fairness and throughput maximization in high-latency, variable satell…

This paper proposes QCOEM, a quantum cloud orchestration framework using evolutionary algorithms for multi-objective optimization of quantum task scheduling, achieving zero rescheduling and 30% higher…

This paper derives closed-form outage probability expressions and proposes a fairness optimization algorithm for a multiuser MISO downlink system that combines rate-splitting multiple access and fluid…

This paper argues for a new approach to designing sixth-generation mobile networks, prioritizing control, customer outcomes, business guarantees, software-driven operations, and technology.

This paper proposes CAPS, a scheduling layer for data centers that separates rate computation and packet scheduling, reducing queue occupancy by up to 10x without throughput loss.

The paper introduces PersTurnBench, a novel benchmark and evaluator for assessing personalized user conversation satisfaction at specific turns, addressing the limitation of generic response quality m…

This paper investigates the feasibility of using 5G networks for teleoperated driving (ToD) and identifies the impact of bandwidth and TDD frame structure on ToD performance.

This paper demonstrates the integration of the quantum-resistant FALCON digital signature scheme into an MQTT-based IoT network using Raspberry Pi 5s to secure communications against future quantum at…

This paper models transaction fee dynamics on blockchains by treating the transaction queue as a priority queue, providing analytical insights into how user delay costs influence fees.