2026· Euromicro Conference on Real-Time Systems· Vol 12, pp. 5:1-5:4· 0 citations· 49 references
Computer Science
TL;DR
A closed-loop control architecture is presented that applies an adaptive safety margin to the network estimates, ensuring the system meets a deadline-constrained reliability target, and it is demonstrated that the system converges towards the target loss rate, even under model mismatch, while also quickly adapting to shifts in network conditions.
A tractable DVP characterization for 5G HARQ is developed that accounts for queueing, transmission, decoding, and feedback delay, as well as the contribution of Control Signaling transmissions to the overall delay, under practical timing assumptions consistent with 3GPP operation.
Sangwon Seo, Vishnu Narayanan Moothedath, Niloofar Mehrnia et al.· arXiv.org· 0 citations
This work addresses network resilience from a time-centric perspective by explicitly integrating finite blocklength (FBL) communication, thereby exposing transmission duration as a controllable resource for system recovery.
K. Weinberger, A. Sezgin, Mehdi Bennis· IEEE Open Journal of the Com...· 0 citations
Achieving deterministic latency for time-sensitive flows within integrated 5G and Time-Sensitive Networking (TSN) ecosystem requires the active mitigation of stochastic delays inherent in 5G New Radio (NR). While existing research typically relies on pessimistic guard bands or over-provisioned time-domain resources via...
Syed Tasnimul Islam, José Fontalvo-Hernández· International Conference on...· 0 citations
An adaptive Forward Error Correction (FEC) scheme for MPQUIC Datagram that reuses QUIC loss detection signals and an off-the-shelf Reed-Solomon coding library to provide practical latency and reliability gains under the measured vehicular mobile conditions.
Takuma Tsubaki, Soto Anno, Seiya Komatsu et al.· arXiv.org· 0 citations
This paper investigates a packetized batteryless V2X overlay architecture in which a dedicated short-range communications (DSRC)-based packet simultaneously carries conventional V2X data and a passive overlay payload, and proposes a multi-agent reinforcement learning (MARL)-based adaptive parameter-selection method.
Zhao-Yu Liu, Ruikang Li, Liu Cao et al.· 0 citations
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