Crowdsourcing-Assisted Radio Environment Maps for V2V Communication Systems

In order to realize reliable Vehicular-to-Vehicular (V2V) communication systems, the recognition of radio propagation becomes an important basic technology. However, in the current wireless distributed network systems, it is difficult to accurately estimate the radio propagation characteristics because of the locality of the radio propagation due to surrounding buildings geographical features. In this paper, we construct a measurement-based radio environment database for V2V communication systems. The database first accumulates the received signal strength indicator (RSSI) related to the transmission/reception locations from V2V systems. By using the datasets, the average received power maps linked with transmitter and receiver locations are generated. We have performed measurement campaigns of V2V communications in the real environment to observe Received Signal Strength Indicator (RSSI) for the database construction. Our results show that the proposed method has higher accuracy of the radio propagation estimation than the conventional path loss model based estimation.

[1]  C. R. S. Kumar,et al.  UHF TVWS operation in Indian scenario utilizing wireless regional area network for rural broadband access , 2016, 2016 International Conference on Next Generation Intelligent Systems (ICNGIS).

[2]  J.-E. Berg,et al.  Path loss and fading models for microcells at 900 MHz , 1992, [1992 Proceedings] Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology.

[3]  Ainslie,et al.  CORRELATION MODEL FOR SHADOW FADING IN MOBILE RADIO SYSTEMS , 2004 .

[4]  Joel Joseph S. Marciano,et al.  Design, implementation and characterization of an RF translator for TVWS communication , 2016, 2016 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob).

[5]  Farnham Tim,et al.  Radio environment map techniques and performance in the presence of errors , 2016 .

[6]  Janne J. Lehtomäki,et al.  Exploring radio environment map architectures for spectrum sharing in the radar bands , 2016, 2016 23rd International Conference on Telecommunications (ICT).

[7]  Dave Evans,et al.  How the Next Evolution of the Internet Is Changing Everything , 2011 .

[8]  Andrea J. Goldsmith,et al.  A Measurement-Based Model for Predicting Coverage Areas of Urban Microcells , 1993, IEEE J. Sel. Areas Commun..

[9]  Sanjeev Verma,et al.  Utilization of television white space for high speed Wi-Fi application TVWS usage , 2016, 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence).

[10]  Dirk Grunwald,et al.  Bounding the error of path loss models , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).