An Improved Channel Estimation Technique for IEEE 802.11p Standard in Vehicular Communications

IEEE 802.11p based Dedicated Short-Range Communication (DSRC) is considered a potential wireless technology to enable transportation safety and traffic efficiency. A major challenge in the development of IEEE 802.11p technology is ensuring communication reliability in highly dynamic Vehicle-to-Vehicle (V2V) environments. The design of IEEE 802.11p does not have a sufficient number of training symbols in the time domain and pilot carriers in the frequency domain to enable accurate estimation of rapidly varying V2V channels. The channel estimation of IEEE 802.11p is preamble based, which cannot guarantee a suitable equalization in urban and highway scenarios, especially for longer length data packets. This limitation has been investigated by some research works, which suggest that one major challenge is determining an accurate means of updating channel estimate over the course of packet length while adhering to the standard. The motivation behind this article is to overcome this challenge. We have proposed an improved Constructed Data Pilot (iCDP) scheme which adheres to the standard and constructs data pilots by considering the correlation characteristics between adjacent data symbols in time domain and adjacent subcarriers in frequency domain. It is in contrast to previous schemes which considered the correlation in the time domain. The results have shown that the proposed scheme performs better than previous schemes in terms of bit error rate (BER) and root-mean-square error (RMSE).

[1]  Ming-Xian Chang,et al.  A new derivation of least-squares-fitting principle for OFDM channel estimation , 2006, IEEE Trans. Wirel. Commun..

[2]  B. V. K. Vijaya Kumar,et al.  Tentpoles Scheme: A Data-Aided Channel Estimation Mechanism for Achieving Reliable Vehicle-to-Vehicle Communications , 2015, IEEE Transactions on Wireless Communications.

[3]  Ming-Xian Chang,et al.  Detection of OFDM Signals in Fast-Varying Channels With Low-Density Pilot Symbols , 2008, IEEE Transactions on Vehicular Technology.

[4]  Xiang Cheng,et al.  Cooperative MIMO channel models: A survey , 2010, IEEE Communications Magazine.

[5]  K. Kim,et al.  Efficient DFT-based channel estimation for OFDM systems on multipath channels , 2007, IET Commun..

[6]  Abdul Hanan Abdullah,et al.  An EV Charging Management System Concerning Drivers’ Trip Duration and Mobility Uncertainty , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[7]  Xiang Cheng,et al.  Wideband Channel Modeling and Intercarrier Interference Cancellation for Vehicle-to-Vehicle Communication Systems , 2013, IEEE Journal on Selected Areas in Communications.

[8]  Ming-Xian Chang,et al.  Detection of OFDM Signals in Fast Fading with Low-Density Pilot Symbols , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[9]  Xiang Cheng,et al.  An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels , 2009, IEEE Transactions on Wireless Communications.

[10]  Mérouane Debbah,et al.  A pseudo random postfix OFDM modulator and inherent channel estimation techniques , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[11]  Juan-Carlos Cano,et al.  A Forward Collision Warning System for Smartphones Using Image Processing and V2V Communication , 2018, Sensors.

[12]  Cheng-Xiang Wang,et al.  Capacity Analysis of a Multi-Cell Multi-Antenna Cooperative Cellular Network with Co-Channel Interference , 2011, IEEE Transactions on Wireless Communications.

[13]  Yonina C. Eldar,et al.  Sub-Nyquist channel estimation over IEEE 802.11ad link , 2017, 2017 International Conference on Sampling Theory and Applications (SampTA).

[14]  Liuqing Yang,et al.  On the estimation of doubly-selective fading channels , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[15]  Jia-Chin Lin Least-Squares Channel Estimation for Mobile OFDM Communication on Time-Varying Frequency-Selective Fading Channels , 2008, IEEE Transactions on Vehicular Technology.

[16]  Pei-Yun Tsai,et al.  OFDM Baseband Receiver Design for Wireless Communications , 2007 .

[17]  Jia-Chin Lin,et al.  LS channel estimation assisted from chirp sequences in OFDM communications , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[18]  Hannes Hartenstein,et al.  A tutorial survey on vehicular ad hoc networks , 2008, IEEE Communications Magazine.

[19]  Shuping Dang,et al.  Inter-vehicle cooperation channel estimation for IEEE 802.11p V2I communications , 2017, Journal of Communications and Networks.

[20]  Takeshi Okano To Realize the Society Based on Recycled Resources-Role of Wood , 2000 .

[21]  Yilin Chang,et al.  SNR estimation algorithm based on the preamble for OFDM systems in frequency selective channels , 2009, IEEE Transactions on Communications.

[22]  Jia-Chin Lin,et al.  Channel Estimation Assisted by Postfixed Pseudo-Noise Sequences Padded with Null Samples for Mobile OFDM Communications , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[23]  Xiang Cheng,et al.  Vehicle-to-vehicle channel modeling and measurements: recent advances and future challenges , 2009, IEEE Communications Magazine.

[24]  David W. Matolak,et al.  Vehicle–Vehicle Channel Models for the 5-GHz Band , 2008, IEEE Transactions on Intelligent Transportation Systems.

[25]  Guillermo Acosta-Marum Measurement, Modeling, and OFDM Synchronization for the Wideband Mobile-to-Mobile Channel , 2007 .

[26]  Xiang Cheng,et al.  An Improved Parameter Computation Method for a MIMO V2V Rayleigh Fading Channel Simulator Under Non-Isotropic Scattering Environments , 2013, IEEE Communications Letters.

[27]  Mary Ann Ingram,et al.  Six Time- and Frequency-Selective Empirical Channel Models for Vehicular Wireless LANs , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[28]  Andreas F. Molisch,et al.  Iterative Time-Variant Channel Estimation for 802.11p Using Generalized Discrete Prolate Spheroidal Sequences , 2012, IEEE Transactions on Vehicular Technology.

[29]  B. V. K. Vijaya Kumar,et al.  Performance of the 802.11p Physical Layer in Vehicle-to-Vehicle Environments , 2012, IEEE Transactions on Vehicular Technology.

[30]  Hyun Seo Oh,et al.  Mid-amble aided OFDM performance analysis in high mobility vehicular channel , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[31]  T. Zemen,et al.  Time-variant channel estimation using discrete prolate spheroidal sequences , 2005, IEEE Transactions on Signal Processing.

[32]  Yue Cao,et al.  Enabling bidirectional traffic mobility for ITS simulation in smart city environments , 2019, Future Gener. Comput. Syst..

[33]  Hyun Seo Oh,et al.  Performance evaluation of V2V/V2I communications: The effect of midamble insertion , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[34]  Xiang Cheng,et al.  Envelope Level Crossing Rate and Average Fade Duration of Nonisotropic Vehicle-to-Vehicle Ricean Fading Channels , 2014, IEEE Transactions on Intelligent Transportation Systems.

[35]  Miaowen Wen,et al.  Channel Estimation Schemes for IEEE 802.11p Standard , 2013, IEEE Intelligent Transportation Systems Magazine.

[36]  Jia-Chin Lin,et al.  Performance evaluations of channel estimations in IEEE 802.11p environments , 2009, ICUMT.

[37]  Yu Ted Su,et al.  Model-based channel estimation for OFDM signals in Rayleigh fading , 2002, IEEE Trans. Commun..

[38]  André Bourdoux,et al.  Channel Tracking for Fast Time-Varying Channels in IEEE802.11p Systems , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[39]  Xiaohu You,et al.  Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties , 2012, IEEE Journal on Selected Areas in Communications.

[40]  Thomas Kürner,et al.  Performance Evaluation of Wiener Filter Designs for Channel Estimation in Vehicular Environments , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).