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Deep Learning-Based Channel Prediction in Realistic Vehicular Communications 원문보기

IEEE access : practical research, open solutions, v.7, 2019년, pp.27846 - 27858  

Joo, Jhihoon (School of Electronics Engineering, Kyungpook National University, Daegu, South Korea) ,  Park, Myung Chul (Center for Embedded Software Technology, Daegu, South Korea) ,  Han, Dong Seog (School of Electronics Engineering, Kyungpook National University, Daegu, South Korea) ,  Pejovic, Veljko (Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia)

Abstract AI-Helper 아이콘AI-Helper

Access to reliable estimates of the wireless channel, such as the channel state information (CSI) and the received signal strength would open opportunities for timely adaptation of transmission parameters and consequently increased throughput and transmission efficiency in vehicular communications. ...

참고문헌 (32)

  1. Adam A method for stochastic optimization kingma 2014 

  2. Rajendran, Sreeraj, Meert, Wannes, Giustiniano, Domenico, Lenders, Vincent, Pollin, Sofie. Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors. IEEE transactions on cognitive communications and networking, vol.4, no.3, 433-445.

  3. Hochreiter, Sepp, Schmidhuber, Jürgen. Long Short-Term Memory. Neural computation, vol.9, no.8, 1735-1780.

  4. Sun, Ruoyu, Matolak, David W., Liu, Pengyu. 5-GHz V2V Channel Characteristics for Parking Garages. IEEE transactions on vehicular technology, vol.66, no.5, 3538-3547.

  5. Paschalidis, Panagiotis, Nuckelt, Jorg, Mahler, Kim, Peter, Michael, Kortke, Andreas, Wisotzki, Mike, Keusgen, Wilhelm, Kurner, Thomas. Investigation of MPC Correlation and Angular Characteristics in the Vehicular Urban Intersection Channel Using Channel Sounding and Ray Tracing. IEEE transactions on vehicular technology, vol.65, no.8, 5874-5886.

  6. Liu, Pengyu, Ai, Bo, Matolak, David W., Sun, Ruoyu, Li, Yan. 5-GHz Vehicle-to-Vehicle Channel Characterization for Example Overpass Channels. IEEE transactions on vehicular technology, vol.65, no.8, 5862-5873.

  7. He, Ruisi, Renaudin, Olivier, Kolmonen, Veli-Matti, Haneda, Katsuyuki, Zhong, Zhangdui, Ai, Bo, Hubert, Simon, Oestges, Claude. Vehicle-to-Vehicle Radio Channel Characterization in Crossroad Scenarios. IEEE transactions on vehicular technology, vol.65, no.8, 5850-5861.

  8. Boban, Mate, Barros, Joao, Tonguz, Ozan K.. Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation. IEEE transactions on vehicular technology, vol.63, no.9, 4146-4164.

  9. Lin, H.M., Tsai, H.M., Boban, M.. Scooter-to-X communications: Antenna placement, human body shadowing, and channel modeling. Ad hoc networks, vol.37, no.1, 87-100.

  10. Halperin, Daniel, Hu, Wenjun, Sheth, Anmol, Wetherall, David. Tool release : gathering 802.11n traces with channel state information. Computer communication review, vol.41, no.1, 53-53.

  11. Bloessl, Bastian, Segata, Michele, Sommer, Christoph, Dressler, Falko. Performance Assessment of IEEE 802.11p with an Open Source SDR-Based Prototype. IEEE transactions on mobile computing, vol.17, no.5, 1162-1175.

  12. Ye, Hao, Li, Geoffrey Ye, Juang, Biing-Hwang. Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems. IEEE wireless communications letters, vol.7, no.1, 114-117.

  13. J Commun Netw Inter-vehicle cooperation channel estimation for IEEE 802.11p V2I communications yang 2017 10.1109/JCN.2017.000040 19 227 

  14. 10.1109/VETECF.2004.1405033 

  15. Pejovic, Veljko, Belding, Elizabeth M.. WhiteRate: A Context-Aware Approach to Wireless Rate Adaptation. IEEE transactions on mobile computing, vol.13, no.4, 921-934.

  16. 10.1109/IEEESTD.2016.7786995 

  17. Camp, J, Knightly, E. Modulation Rate Adaptation in Urban and Vehicular Environments: Cross-Layer Implementation and Experimental Evaluation. IEEE/ACM transactions on networking : a joint publication of the IEEE Communications Society, the IEEE Computer Society, and the ACM with its Special Interest Group on Data Communication, vol.18, no.6, 1949-1962.

  18. 10.1109/VETECS.2008.458 

  19. 10.1109/VETEC.1995.504981 

  20. Hyungsik Ju, Rui Zhang. Throughput Maximization in Wireless Powered Communication Networks. IEEE transactions on wireless communications, vol.13, no.1, 418-428.

  21. Wu, Yik-Chung, Yip, Kun-Wah, Ng, Tung-Sang, Serpedin, E.. Maximum-likelihood symbol synchronization for IEEE 802.11a WLANs in unknown frequency-selective fading channels. IEEE transactions on wireless communications, vol.4, no.6, 2751-2763.

  22. Khorov, Evgeny, Kiryanov, Anton, Lyakhov, Andrey, Bianchi, Giuseppe. A Tutorial on IEEE 802.11ax High Efficiency WLANs. IEEE Communications surveys and tutorials, vol.21, no.1, 197-216.

  23. Proc 8th Annu Int Conf Mobile Comput Netw Opportunistic media access for multirate ad hoc networks sadeghi 2002 24 

  24. Shah, Syed Adeel Ali, Ahmed, Ejaz, Xia, Feng, Karim, Ahmad, Shiraz, Muhammad, Noor, Rafidah Md. Adaptive Beaconing Approaches for Vehicular Ad Hoc Networks: A Survey. IEEE systems journal, vol.12, no.2, 1263-1277.

  25. 10.1145/381677.381700 

  26. Duel-Hallen, Alexandra. Fading Channel Prediction for Mobile Radio Adaptive Transmission Systems. Proceedings of the IEEE, vol.95, no.12, 2299-2313.

  27. Proc 14th Eur Signal Process Conf Minimum-energy bandlimited time-variant channel prediction with dynamic subspace selection zemen 2006 1 

  28. Fanhui Zeng, Rongqing Zhang, Xiang Cheng, Liuqing Yang. Channel Prediction Based Scheduling for Data Dissemination in VANETs. IEEE communications letters : a publication of the IEEE Communications Society, vol.21, no.6, 1409-1412.

  29. Int Found Telemetering MIMO channel prediction using recurrent neural networks potter 2008 

  30. 10.1109/ICC.2018.8422221 

  31. Channel prediction in wireless communications anderson 2015 

  32. Luo, Changqing, Ji, Jinlong, Wang, Qianlong, Chen, Xuhui, Li, Pan. Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach. IEEE transactions on network science and engineering, vol.7, no.1, 227-236.

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