OTFS Based Receiver Scheme with Multi-Antennas in High-Mobility V2X Systems

Vehicle-to-everything (V2X) is considered as one of the most important applications of future wireless communication networks. However, the Doppler effect caused by the vehicle mobility may seriously deteriorate the performance of the vehicular communication links, especially when the channels exhibit a large number of Doppler frequency offsets (DFOs). Orthogonal time frequency space (OTFS) is a new waveform designed in the delay-Doppler domain, and can effectively convert a doubly dispersive channel into an almost non-fading channel, which makes it very attractive for V2X communications. In this paper, we design a novel OTFS based receiver with multi-antennas to deal with the high-mobility challenges in V2X systems. We show that the multiple DFOs associated with multipaths can be separated with the high-spatial resolution provided by multi-antennas, which leads to an enhanced sparsity of the OTFS channel in the delay-Doppler domain and bears a potential to reduce the complexity of the message passing (MP) detection algorithm. Based on this observation, we further propose a joint MP-maximum ration combining (MRC) iterative detection for OTFS, where the integration of MRC significantly improves the convergence performance of the iteration and gains an excellent system error performance. Finally, we provide numerical simulation results to corroborate the superiorities of the proposed scheme.

[1]  Pingzhi Fan,et al.  Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[2]  Zhiguo Ding,et al.  Robust Beamforming Design for OTFS-NOMA , 2019, IEEE Open Journal of the Communications Society.

[3]  Dmitry Chizhik,et al.  Slowing the time-fluctuating MIMO channel by beam forming , 2004, IEEE Transactions on Wireless Communications.

[4]  Wei Guo,et al.  High-Mobility OFDM Downlink Transmission With Large-Scale Antenna Array , 2017, IEEE Transactions on Vehicular Technology.

[5]  Xiang Cheng,et al.  D2D for Intelligent Transportation Systems: A Feasibility Study , 2015, IEEE Transactions on Intelligent Transportation Systems.

[6]  A. Robert Calderbank,et al.  Orthogonal Time Frequency Space Modulation , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[7]  Yi Hong,et al.  Interference Cancellation and Iterative Detection for Orthogonal Time Frequency Space Modulation , 2018, IEEE Transactions on Wireless Communications.

[8]  Ananthanarayanan Chockalingam,et al.  MIMO-OTFS in High-Doppler Fading Channels: Signal Detection and Channel Estimation , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[9]  Hai Lin,et al.  High-Mobility Wideband Massive MIMO Communications: Doppler Compensation, Analysis and Scaling Laws , 2018, IEEE Transactions on Wireless Communications.

[10]  Sherali Zeadally,et al.  5G for Vehicular Communications , 2018, IEEE Communications Magazine.

[11]  Tingting Zou,et al.  Low-Complexity Linear Equalization for OTFS Systems with Rectangular Waveforms , 2019, 2021 IEEE International Conference on Communications Workshops (ICC Workshops).

[12]  Fei Long,et al.  Low Complexity Iterative LMMSE-PIC Equalizer for OTFS , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[13]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[14]  Rong-Rong Chen,et al.  Analysis of Discrete-Time MIMO OFDM-Based Orthogonal Time Frequency Space Modulation , 2017, 2018 IEEE International Conference on Communications (ICC).

[15]  Pingzhi Fan,et al.  OTFS-NOMA: An Efficient Approach for Exploiting Heterogenous User Mobility Profiles , 2019, IEEE Transactions on Communications.