MOBIL AĞLARDA LOKASYON TAHMİNİ
Yıl 2022,
Cilt: 4 Sayı: 2, 199 - 204, 28.02.2022
Ahmed Hakan Kılıç
,
Ali Boyacı
,
Serhan Yarkan
Öz
Bu makale, Baz İstasyonu (BTS) verilerini kullanarak Mobil ağlarda konum tahminini raporlamaktadır. İşlenen veriler sahadan TA (Timing Advance), RSRP (Reference Signal Received Power) ve RSRQ (Reference Signal Received Quality) ölçümleri olarak toplanmıştır. Ölçümlere karşılık gelen Global Konumlandırma Sistemi (GPS) verileri de toplanmıştır. Lokasyon tahminleri gerçek lokasyonla (GPS) karşılaştırılmıştır. Baz istasyonunun hizmet kalitesini artırmak amaçlanmıştır. Bu makale “Mobil Ağlarda Lokasyon Tahmini” başlıklı tezden üretilmiştir.
Kaynakça
- Anisetti, M., Ardagna, C. A., Bellandi, V., Damiani, E., & Reale, S. (2011). Map-Based Location and Tracking in Multipath Outdoor Mobile Networks. IEEE Transactions on Wireless Communications.
- ETSI TS 136 214 V15.5.0 (2020-01). (2020). Retrieved from www.etsi.org: https://www.etsi.org/deliver/etsi_ts/136200_136299/136214/15.05.00_60/ts_136214v150500p.pdf
- Hernández, L. A., Arteaga, S. P., Pérez, G. S., Orozco, A. L., & Villalba, L. J. (2019). Outdoor Location of Mobile Devices Using Trilateration Algorithms for Emergency Services. IEEE.
- Kyunghyun Lee, H. L. (2019). Optimised solution for hybrid TDOA/AOAbased geolocation using Nelder-Mead simplex method. IET Radar, Sonar & Navigation.
- Samarah, K. G. (2016). Mobile Positioning Technique Based on Timing Advance. International Journal on Communications Antenna and Propagation (I.Re.C.A.P.), Vol. 6, N. 4.
- Ruan, W., Milstein, A. B., Blackwell, W., & Miller, E. L. (2017). Multiple output Gaussian process regression algorithm for multi-frequency scattered data interpolation. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE.
- Hirose, H., Soejima, Y., & Hirose, K. (2021). NNRMLR: A Combined Method of Nearest Neighbor Regression and Multiple Linear Regression. 2012 IIAI International Conference on Advanced Applied Informatics. IEEE.
- Li, C., & Li, W. (2010). Partial least squares method based on least absolute shrinkage and selection operator. 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE). IEEE.
- Li, D., Ge, Q., Zhang, P., Xing, Y., Yang, Z., & Nai, W. (2020). Ridge Regression with High Order Truncated Gradient Descent Method. 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE.
- Pereira, R. C., Abreu, P. H., & Rodrigues, P. P. (2020). VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. 2020 International Joint Conference on Neural Networks (IJCNN). IEEE.
- T. Van Gestel, J. A. (2001). Automatic relevance determination for least squares support vector machine regression. International Joint Conference on Neural Networks. Proceedings. IEEE
LOCATION ESTIMATION ON MOBILE NETWORKS
Yıl 2022,
Cilt: 4 Sayı: 2, 199 - 204, 28.02.2022
Ahmed Hakan Kılıç
,
Ali Boyacı
,
Serhan Yarkan
Öz
This paper reports the location estimation on Mobile networks using Base Station (BTS) data. Processed data have been collected from the field as TA (Timing Advance), RSRP (Reference Signal Received Power), and RSRQ (Reference Signal Received Quality) measurements. We also gathered the corresponding Global Positioning System (GPS) to the measurements. Location estimation results compared to the actual location. We gathered the accurate sites of the users to increase the service quality of the BTS. This article was produced from the thesis titled “Location Estimation on Mobile Networks.”
Kaynakça
- Anisetti, M., Ardagna, C. A., Bellandi, V., Damiani, E., & Reale, S. (2011). Map-Based Location and Tracking in Multipath Outdoor Mobile Networks. IEEE Transactions on Wireless Communications.
- ETSI TS 136 214 V15.5.0 (2020-01). (2020). Retrieved from www.etsi.org: https://www.etsi.org/deliver/etsi_ts/136200_136299/136214/15.05.00_60/ts_136214v150500p.pdf
- Hernández, L. A., Arteaga, S. P., Pérez, G. S., Orozco, A. L., & Villalba, L. J. (2019). Outdoor Location of Mobile Devices Using Trilateration Algorithms for Emergency Services. IEEE.
- Kyunghyun Lee, H. L. (2019). Optimised solution for hybrid TDOA/AOAbased geolocation using Nelder-Mead simplex method. IET Radar, Sonar & Navigation.
- Samarah, K. G. (2016). Mobile Positioning Technique Based on Timing Advance. International Journal on Communications Antenna and Propagation (I.Re.C.A.P.), Vol. 6, N. 4.
- Ruan, W., Milstein, A. B., Blackwell, W., & Miller, E. L. (2017). Multiple output Gaussian process regression algorithm for multi-frequency scattered data interpolation. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE.
- Hirose, H., Soejima, Y., & Hirose, K. (2021). NNRMLR: A Combined Method of Nearest Neighbor Regression and Multiple Linear Regression. 2012 IIAI International Conference on Advanced Applied Informatics. IEEE.
- Li, C., & Li, W. (2010). Partial least squares method based on least absolute shrinkage and selection operator. 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE). IEEE.
- Li, D., Ge, Q., Zhang, P., Xing, Y., Yang, Z., & Nai, W. (2020). Ridge Regression with High Order Truncated Gradient Descent Method. 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE.
- Pereira, R. C., Abreu, P. H., & Rodrigues, P. P. (2020). VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. 2020 International Joint Conference on Neural Networks (IJCNN). IEEE.
- T. Van Gestel, J. A. (2001). Automatic relevance determination for least squares support vector machine regression. International Joint Conference on Neural Networks. Proceedings. IEEE