Differential Modulation Exploiting the Spatial–Temporal Correlation of Wireless Channels With Moving Antenna Array

Provisioning reliable wireless services for railway passengers is becoming an increasingly critical problem to be addressed with the fast development of high speed trains (HST). In this paper, exploiting the linear mobility inherent to the HST communication scenario, we discover a new type of spatial-temporal correlation between the base station and moving antenna array on the roof top of the train. Capitalizing on the new spatial-temporal correlation structure and properties, an improved differential space-time modulation (DSTM) scheme is proposed. Analytical expressions are obtained for the pairwise error probability of the system. It is demonstrated that the proposed approach achieves superior error performance compared with the conventional DSTM scheme. In addition, an adaptive method, which dynamically adjusts the transmission block length is proposed to further enhance the system performance. Numerical results are provided to verify the performance of the proposed schemes.

[1]  Ali Abdi,et al.  A space-time correlation model for multielement antenna systems in mobile fading channels , 2002, IEEE J. Sel. Areas Commun..

[2]  Brian L. Hughes,et al.  Optimal space-time constellations from groups , 2003, IEEE Trans. Inf. Theory.

[3]  Thomas L. Marzetta,et al.  Unitary space-time modulation for multiple-antenna communications in Rayleigh flat fading , 2000, IEEE Trans. Inf. Theory.

[4]  Alfonso Fernández-Durán,et al.  Long term evolution in high speed railway environments: Feasibility and challenges , 2013, Bell Labs Technical Journal.

[5]  Yang-Seok Choi,et al.  On channel estimation and detection for multicarrier signals in fast and selective Rayleigh fading channels , 2001, IEEE Trans. Commun..

[6]  Bo Ai,et al.  Radio Wave Propagation Scene Partitioning for High-Speed Rails , 2012 .

[7]  Brian L. Hughes,et al.  Differential space-time modulation , 1999, WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466).

[8]  Preben E. Mogensen,et al.  A stochastic MIMO radio channel model with experimental validation , 2002, IEEE J. Sel. Areas Commun..

[9]  Cheng-Xiang Wang,et al.  A Non-Stationary MIMO Channel Model for High-Speed Train Communication Systems , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[10]  Gregory C. Reinsel,et al.  VECTOR AUTOREGRESSIVE MODELS WITH UNIT ROOTS AND REDUCED RANK STRUCTURE:ESTIMATION. LIKELIHOOD RATIO TEST, AND FORECASTING , 1992 .

[11]  Babak Hassibi,et al.  Cayley differential unitary space - Time codes , 2002, IEEE Trans. Inf. Theory.

[12]  Meng Cheng,et al.  Efficient Multiple-Group Multiple-Antenna (MGMA) Scheme for High-Speed Railway Viaducts , 2013, IEEE Transactions on Vehicular Technology.

[13]  Van Khanh Nguyen.  Performance Analysis of Differential Space–Time Modulation , 2012, IEEE Transactions on Information Theory.

[14]  Nirwan Ansari,et al.  RADIATE: radio over fiber as an antenna extender for high-speed train communications , 2015, IEEE Wireless Communications.

[15]  Ernst Bonek,et al.  A stochastic MIMO channel model with joint correlation of both link ends , 2006, IEEE Transactions on Wireless Communications.

[16]  Hamid Jafarkhani,et al.  Multiple transmit antenna differential detection from generalized orthogonal designs , 2001, IEEE Trans. Inf. Theory.

[17]  Geoffrey Ye Li,et al.  Robust channel estimation for OFDM systems with rapid dispersive fading channels , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[18]  Keith Q. T. Zhang,et al.  Structures and performance of noncoherent receivers for unitary space-time modulation on correlated fast-fading channels , 2004, IEEE Transactions on Vehicular Technology.

[19]  Kien T. Truong,et al.  Effects of channel aging in massive MIMO systems , 2013, Journal of Communications and Networks.

[20]  Jonathan D. Cryer,et al.  Time Series Analysis , 1986, Encyclopedia of Big Data.

[21]  R. Schober,et al.  Noncoherent receivers for differential space-time modulation , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[22]  Jingxian Wu,et al.  Maximizing Spectral Efficiency for High Mobility Systems with Imperfect Channel State Information , 2014, IEEE Transactions on Wireless Communications.