3.5 High-Precision Wireless Localization

Chapters in this book

1. Frontmatter I
2. Contents VII
3. 1 Editorial 1
4. 2 Health / Medicine
5. 2.1 Machine Learning in Medicine 3
6. 2.2 Virus Detection 21
7. 2.3 Cancer Diagnostics and Therapy from Molecular Data 43
8. 2.4 Bayesian Analysis for Dimensionality and Complexity Reduction 58
9. 2.5 Survival Prediction and Model Selection 71
10. 2.6 Protein Complex Similarity 85
11. 3 Industry 4.0
12. 3.1 Keynote on Industry 4.0 103
13. 3.2 Quality Assurance in Interlinked Manufacturing Processes 114
14. 3.3 Label Proportion Learning 136
15. 3.4 Simulation and Machine Learning 157
16. 3.5 High-Precision Wireless Localization 180
17. 3.6 Indoor Photovoltaic Energy Harvesting 195
18. 3.7 Micro-UAV Swarm Testbed for Indoor Applications 212
19. 4 Smart City and Traffic
20. 4.1 Inner-City Traffic Flow Prediction with Sparse Sensors 225
21. 4.2 Privacy-Preserving Detection of Persons and Classification of Vehicle Flows 241
22. 4.3 Green Networking and Resource Constrained Clients for Smart Cities 261
23. 4.4 Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing 272
24. 4.5 Modelling of Hybrid Vehicular Traffic with Extended Cellular Automata 285
25. 4.6 Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms 297
26. 5 Communication Networks
27. 5.1 Capacity Analysis of IoT Networks in the Unlicensed Spectrum 313
28. 5.2 Resource-Efficient Vehicle-to-Cloud Communications 331
29. 5.3 Mobile-Data Network Analytics Highly Reliable Networks 342
30. 5.4 Machine Learning-Enabled 5G Network Slicing 354
31. 5.5 Potential of Millimeter Wave Communications 375
32. 6 Privacy
33. 6.1 Keynote: Construction of Inference-Proof Agent Interactions 391
34. Bibliography 413
35. Index 461
36. List of Contributors 467