2026· IEEE Open Journal of the Communications Society· Vol 7, pp. 8945-8962· 0 citations· 53 references
TL;DR
Simulations on synthetic workloads with measurement-verified parameters show that TOA-S substantially reduces reconfiguration churn while maintaining spectrum utilization and latency-compatible execution.
Abstract
Spectrum admission in low-latency mobile networks increasingly relies on fast control loops under time-varying traffic and radio conditions. A key challenge in such settings is reconfiguration churn: small score fluctuations near the admission boundary can repeatedly flip the marginal admitted request, even when the resulting utility gain is negligible. These boundary-level replacements are disproportionately expensive because admission and eviction trigger higher-layer control procedures, signaling exchanges, and coordination overhead. To address this problem, we propose TOA-S, a churn-aware admission primitive for latency-bounded mobile control. TOA-S targets cellular radio access network (RAN) deployments operating over licensed spectrum, where control loops of the ultra-reliable low-latency communication class at the near-real-time RAN Intelligent Controller must complete within sub-second decision windows. TOA-S preserves the greedy allocation structure for the responsive core of the admitted set and applies stabilization only at the admission boundary, in a single pass per decision epoch, without iterative optimization or learning. We show that TOA-S incurs only an $\varepsilon $ -bounded utility deviation, modifies at most one membership decision per epoch, and suppresses oscillatory replacements under persistent boundary near-tie conditions. Simulations on synthetic workloads with measurement-verified parameters show that TOA-S substantially reduces reconfiguration churn while maintaining spectrum utilization and latency-compatible execution.
This work introduces Online Pricing-based Slice Admission Control and Resource Allocation (OPA) framework, which dynamically assigns pseudo-prices to resources that capture long-term scarcity and anticipated inter-temporal opportunity costs and designs an exponential pricing strategy that guarantees bounded worst-case...
Muhammad Sulaiman, Bo Sun, M. A. Salahuddin et al.· 0 citations
P predictive traffic shaping is studied, a slower user-equipment control loop that changes when flexible demand reaches the radio access network (RAN) and the UE estimates useful pre-event demand and releases it across a lookahead window.
This work proposes CAPSUM, a capacity-aware admission policy with an elastic specialization, CAPSUM-E, and implements an exact local offline dynamic program and compares against direct common-model baselines and documented source-derived adapters for EDP-A, OREO, and uEDC-L.
Hailiang Zhao, Zi-Qi Wang, Yi-Fei Zhang et al.· 0 citations
Analytical upper bounds on the expected per-round latency under fractional power control (FPC) are derived and these results highlight fractional power control as a simple and model-agnostic mechanism for mitigating wireless aggregation bottlenecks in edge learning systems.
A. C. Vamshi Karthik, S. Tayyaba, S. Vanka· 0 citations
The rapid evolution of 5G and emerging 6G networks requires optical access systems to support immersive extended reality (XR) services with stringent quality-of-service (QoS) requirements, like ultra-low latency and high bandwidth. However, conventional dynamic bandwidth allocation (DBA) schemes in passive optical netw...
Akhilesh Patel, Y. Singh· IEEE Transactions on Network...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.