Index modulated OFDM with interleaved grouping for V2X communications

Vehicle-to-Vehicle and Vehicle-to-Infrastructure (V2X) communication brings about stringent demand for robust and efficient communication techniques under sever Doppler effect and frequency-selective channel environments. Index Modulated Orthogonal Frequency Division Multiplexing with Interleaved grouping (IIM-OFDM), which utilizes the indices of active subcarriers in frequency domain interleaved subcarrier groups to carry information, is considered as a competitive candidate for its robustness against both Inter-Carrier Interference (ICI) and channel correlation. In this paper, we propose a novel revision of IIM-OFDM designed for V2X, namely Quadrature Index Modulated OFDM with Interleaved grouping (IQIM-OFDM), which performs index modulation independently for the inphase and quadrature components of the constellation symbols. Thanks to the increased index bits, IQIM-OFDM can work at smaller subcarrier group and constellation sizes compared with IIM-OFDM at the same data rate, and therefore boosts the performance under V2X channels. Monte Carlo simulations under measured V2X channels are conducted to verify the superiority of the proposed scheme against both IIM-OFDM and classical OFDM schemes.

[1]  Ertugrul Basar,et al.  Orthogonal frequency division multiplexing with index modulation in the presence of high mobility , 2013, 2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom).

[2]  Xiang Cheng,et al.  Differential Spatial Modulation , 2015, IEEE Transactions on Vehicular Technology.

[3]  Harald Haas,et al.  Subcarrier-index modulation OFDM , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[4]  Xiang Cheng,et al.  Communicating in the real world: 3D MIMO , 2014, IEEE Wireless Communications.

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

[6]  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.

[7]  Xiang Cheng,et al.  Use of SSK Modulation in Two-Way Amplify-and-Forward Relaying , 2014, IEEE Transactions on Vehicular Technology.

[8]  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.

[9]  Xiang Cheng,et al.  Optimal Correlative Coding for Discrete-Time OFDM Systems , 2014, IEEE Transactions on Vehicular Technology.

[10]  Fredrik Tufvesson,et al.  A geometry-based stochastic MIMO model for vehicle-to-vehicle communications , 2009, IEEE Transactions on Wireless Communications.

[11]  P. Grant,et al.  Spatial modulation for multiple-antenna wireless systems: a survey , 2011, IEEE Communications Magazine.

[12]  Xiang Cheng,et al.  New deterministic and stochastic simulation models for non-isotropic scattering mobile-to-mobile Rayleigh fading channels , 2011, Wirel. Commun. Mob. Comput..

[13]  Xiang Cheng,et al.  Data Dissemination in VANETs: A Scheduling Approach , 2014, IEEE Transactions on Intelligent Transportation Systems.

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

[15]  Harald Haas,et al.  Enhanced subcarrier index modulation (SIM) OFDM , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[16]  Liuqing Yang,et al.  Intelligent transportation spaces: vehicles, traffic, communications, and beyond , 2010, IEEE Communications Magazine.

[17]  Lajos Hanzo,et al.  Spatial Modulation for Generalized MIMO: Challenges, Opportunities, and Implementation , 2014, Proceedings of the IEEE.

[18]  Xiang Cheng,et al.  Electrified Vehicles and the Smart Grid: The ITS Perspective , 2014, IEEE Transactions on Intelligent Transportation Systems.

[19]  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.

[20]  M.A. Ingram,et al.  Six time- and frequency- selective empirical channel models for vehicular wireless LANs , 2007, IEEE Vehicular Technology Magazine.

[21]  Xiang Cheng,et al.  A Novel Centralized TDMA-Based Scheduling Protocol for Vehicular Networks , 2015, IEEE Transactions on Intelligent Transportation Systems.

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

[23]  Xiang Cheng,et al.  Error Probability Analysis of Interleaved SC-FDMA Systems Over Nakagami- $m$ Frequency-Selective Fading Channels , 2013, IEEE Transactions on Vehicular Technology.

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

[25]  Liuqing Yang,et al.  Smart Cars on Smart Roads: An IEEE Intelligent Transportation Systems Society Update , 2006, IEEE Pervasive Comput..