All Stories

  1. On the Scalability of Access and Mobility Management Function: the Localization Management Function Use Case
  2. Monitoring 5G Core Networks Vulnerabilities With eBPF
  3. AIChronoLens: AI/ML Explainability for Time Series Forecasting in Mobile Networks
  4. DeExp: Revealing Model Vulnerabilities for Spatio-Temporal Mobile Traffic Forecasting With Explainable AI
  5. Twinning Commercial Network Traces on Experimental Open RAN Platforms
  6. Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE
  7. Handling Data Handoff of AI-Based Applications in Edge Computing Systems
  8. EXPLORA: AI/ML EXPLainability for the Open RAN
  9. waveSLAM: Empowering Accurate Indoor Mapping Using Off-the-Shelf Millimeter-wave Self-sensing
  10. Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level
  11. A study on 5G performance and fast conditional handover for public transit systems
  12. Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens
  13. In-depth study of RNTI management in mobile networks: Allocation strategies and implications on data trace analysis
  14. Characterizing Location Management Function Performance in 5G Core Networks
  15. Uncovering 5G Performance on Public Transit Systems with an App-based Measurement Study
  16. Experimenting with localization management functions in 5G core networks
  17. Opportunities and Challenges for Virtual Reality Streaming over Millimeter-Wave: An Experimental Analysis
  18. Mobility-Driven and Energy-Efficient Deployment of Edge Data Centers in Urban Environments
  19. Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead
  20. A mobility-based deployment strategy for edge data centers
  21. Traffic-Driven Sounding Reference Signal Resource Allocation in (Beyond) 5G Networks
  22. OctoMap: Supporting Service Function Chaining via Supervised Learning and Online Contextual Bandit
  23. On blockchain integration into mobile crowdsensing via smart embedded devices: A comprehensive survey
  24. The CORONA business in modern cities
  25. Performance evaluation of hybrid crowdsensing systems with stateful CrowdSenSim 2.0 simulator
  26. Event-Based Vision: Understanding Network Traffic Characteristics
  27. A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks
  28. openLEON: An end-to-end emulation platform from the edge data center to the mobile user
  29. The Impact of Human Mobility on Edge Data Center Deployment in Urban Environments
  30. Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities
  31. Analysis of TCP Performance in 5G mm-Wave Mobile Networks
  32. Scaling Millimeter-Wave Networks to Dense Deployments and Dynamic Environments
  33. pDCell
  34. A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
  35. CrowdSenSim 2.0
  36. Profiling Performance of Application Partitioning for Wearable Devices in Mobile Cloud and Fog Computing
  37. Why energy matters? Profiling energy consumption of mobile crowdsensing data collection frameworks
  38. Collaborative Data Delivery for Smart City-Oriented Mobile Crowdsensing Systems
  39. OpenLEON
  40. High-Precision Design of Pedestrian Mobility for Smart City Simulators
  41. Profiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications
  42. Sociability-Driven Framework for Data Acquisition in Mobile Crowdsensing Over Fog Computing Platforms for Smart Cities
  43. Performance and Energy Efficiency Metrics for Communication Systems of Cloud Computing Data Centers
  44. Enriching Remote Control Applications with Fog Computing
  45. Cost analysis of smart lighting solutions for smart cities
  46. Energy efficient data collection in opportunistic mobile crowdsensing architectures for smart cities
  47. On the Energy-Proportionality of Data Center Networks
  48. CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments
  49. A Cost-Effective Distributed Framework for Data Collection in Cloud-Based Mobile Crowd Sensing Architectures
  50. Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things
  51. Assessing Performance of Internet of Things-Based Mobile Crowdsensing Systems for Sensing as a Service Applications in Smart Cities
  52. Game-Theoretic Recruitment of Sensing Service Providers for Trustworthy Cloud-Centric Internet-of-Things (IoT) Applications
  53. Sociability-Driven User Recruitment in Mobile Crowdsensing Internet of Things Platforms
  54. Smart Probabilistic Fingerprinting for Indoor Localization over Fog Computing Platforms
  55. Network coding-based content distribution in cellular access networks
  56. Power comparison of cloud data center architectures
  57. Network-assisted offloading for mobile cloud applications
  58. Performance Metrics for Data Center Communication Systems
  59. Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing
  60. NC-CELL: Network coding-based content distribution in cellular networks for cloud applications