Quality of Service
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Community Services Data Set and healthy child programme: data quality review, 2015 to 2025
Community Services Data Set and healthy child programme: data quality review, 2015 to 2025 This review is a summary of analysis of the completeness of the CSDS for children aged 0 to 4 years. Applies to England Documents Details This review is a summary of analysis of how complete the Community Services Data Set (CSDS) is for children aged 0 to 4 years.
Ev-Trust: An Evolutionarily Stable Trust Mechanism for Decentralized LLM-Based Multi-Agent Service Economies
arXiv:2512.16167v3 Announce Type: replace Abstract: Decentralized LLM-based multi-agent service economies face three vulnerabilities that undermine traditional trust mechanisms: reduced cost of fraud, difficulty in evaluating service quality, and instability of service content. These compounding vulnerabilities can trigger population-level trust collapse and the proliferation of short-sighted strategies. We propose Ev-Trust, an evolutionarily stable trust mechanism that addresses these...
DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming
Announce Type: new Abstract: Next-generation wireless networks, including satellite-to-Open RAN systems, demand agile and intelligent resource management capable of handling dynamic multi-user interference under stochastic quality of service constraints. This paper introduces DIFFRACT, a neuralized utility maximization framework that leverages differentiable programming to integrate deep learning with optimization in wireless networks. Central to our approach is the exploitation of the...
Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks
Announce Type: new Abstract: We consider a federated learning (FL) system in which Industrial Internet-of-Things (IIoT) devices collaboratively train a global model over wireless channels without sharing local data. In such systems, communication time is a primary bottleneck that constrains overall training efficiency. Unlike conventional networks that prioritize individual quality-of-service requirements, FL systems collectively aim to converge to an optimal global model as efficiently as...
Policy-Guided ML for Energy Savings: Cell On/Off Switching under Operator QoS Constraints in Real 5G Networks
arXiv:2606.05755v1 Announce Type: new Abstract: Energy efficiency is a critical concern in the deployment and operation of 5G networks, particularly due to the low utilization of 4G and 5G carriers during off-peak hours. While considerable research has focused on designing energy-efficient cell on/off switching strategies that avoid disrupting user connectivity, the integration of operator-specific policies to guarantee particular Quality of Service (QoS) levels has received limited...
A Practical AI-Driven Strategy for Cell On/Off Switching under Adaptable QoS Constraints
arXiv:2606.05019v1 Announce Type: new Abstract: The rapid expansion of 5G networks has intensified concerns over their sustainability, as denser Radio Access Network (RAN) deployments have increased overall power consumption. Although numerous studies have examined energy-efficient cell on/off switching, few have focused on approaches capable of dynamically adapting to operator-defined Quality of Service (QoS) requirements. In this paper, we propose a Long Short Term Memory (LSTM)based...
Statistically Robust Resource Block Allocation for Satellite Communications
Announce Type: new Abstract: It is critical to dimension (accurately estimate capacity of) a satellite system prior to deployment, as it is very expensive to reconfigure launched satellite systems that fail to meet demand or that waste capacity. The fundamental requirement is a dimensioning rule for resource blocks (RBs) given a satellite footprint and a target overload probability (target Quality-of-Service). The rule must be robust to the spatial covariance structure of signal attenuation,...
Where's Waldo Library? Using Reverse IP Geolocation to Identify Library IPs
Announce Type: new Abstract: Community anchor institutions (CAIs), such as libraries, schools, and community centers, are critical for providing Internet access to un- or under-served individuals and communities. Because many of these institutions are themselves under-provisioned, analyzing the reliability and quality of their Internet service is important. Doing so at scale requires knowing the IP addresses of these institutions so that broadband measurement and policy evaluation can occur.
Using Text-Based Causal Inference to Disentangle Factors Influencing Online Review Ratings
arXiv:2606.04286v1 Announce Type: new Abstract: Online reviews provide valuable insights into the perceived quality of facets of a product or service. While aspect-based sentiment analysis has focused on extracting these facets from reviews, there is less work understanding the impact of each aspect on overall perception. This is particularly challenging given correlations among aspects, making it difficult to isolate the effects of each.
Paying for 300 Mbps WiFi but getting only 50? Know how to file complaint and claim relief
Many broadband subscribers in India pay for high-speed internet but receive far less. What most do not realise is that this is not just a service failure — it is something you can formally complaint about and claim compensation for. If your broadband provider is delivering speeds significantly lower than what was promised, you have two main places to file complaint — the Telecom Regulatory Authority of India (TRAI) and the consumer court under the Consumer Protection Act, 2019.