Accurate E-CID Framework for Indoor Positioning in 5G using Path Tracing and Machine Learning
Abstract
References
Index Terms
- Accurate E-CID Framework for Indoor Positioning in 5G using Path Tracing and Machine Learning
Recommendations
Indoor Fingerprint Positioning Method Based on Real 5G Signals
ICMLSC '23: Proceedings of the 2023 7th International Conference on Machine Learning and Soft ComputingIndoor positioning services are being used more and more widely. However, existing indoor positioning techniques cannot simultaneously take into account low cost, ease of use, high precision, and seamless switching between indoor and outdoor ...
Experiences with using iBeacons for Indoor Positioning
ISEC '16: Proceedings of the 9th India Software Engineering ConferenceiBeacon is a protocol standardized by Apple based on Bluetooth Low Energy which allows broadcasting devices (e.g. beacons) to emit signals and a compatible receiver (e.g. smartphone) to capture and interpret the same. iBeacon seems useful in indoor ...
Novel fingerprinting mechanisms for indoor positioning
As wireless communications and microelectronic technology rapidly develop, diverse applications and services based on smart handheld devices have drawn the attention of researchers. The popularity of Indoor Location Based services and applications has ...
Comments
Information & Contributors
Information
Published In
- General Chair:
- Azzedine Boukerche,
- Program Chairs:
- Floriano De Rango,
- Zhi Sun
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 91Total Downloads
- Downloads (Last 12 months)91
- Downloads (Last 6 weeks)3
Other Metrics
Citations
Cited By
View allView Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in