Spectral Efficient Modem Design With OTFS Modulation for Vehicular-IoT System

Reddy, Ch Santosh; Priya, Preety; Singhal, Chetna

doi:10.1109/jiot.2022.3211531

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…By embedding a single pilot symbol in the DD domain and setting an appropriate threshold for its response, high-precision channel estimation is achieved. In [ 14 , 15 , 16 ], the EP concept was redesigned to improve the channel estimation performance. However, guard symbols are always needed in this channel estimation category to avoid interference between pilot and data symbols, which results in SE loss.…”

Section: Introductionmentioning

confidence: 99%

Superimposed Perfect Binary Array-Aided Channel Estimation for OTFS Systems

Tang

Kong

et al. 2023

Entropy

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Orthogonal time-frequency space (OTFS) modulation outperforms orthogonal frequency-division multiplexing in high-mobility scenarios through better channel estimation. Current superimposed pilot (SP)-based channel estimation improves the spectral efficiency (SE) when compared to that of the traditional embedded pilot (EP) method. However, it requires an additional non-superimposed EP delay-Doppler frame to estimate the delay-Doppler taps for the following SP-aided frames. To handle this problem, we propose a channel estimation method with high SE, which superimposes the perfect binary array (PBA) on data symbols as the pilot. Utilizing the perfect autocorrelation of PBA, channel estimation is performed based on a linear search to find the correlation peaks, which include both delay-Doppler tap information and complex channel gain in the same superimposed PBA frame. Furthermore, the optimal power ratio of the PBA is then derived by maximizing the signal-to-interference-plus-noise ratio (SINR) to optimize the SE of the proposed system. The simulation results demonstrate that the proposed method can achieve a similar channel estimation performance to the existing EP method while significantly improving the SE.

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Section: Introductionmentioning

confidence: 99%

Superimposed Perfect Binary Array-Aided Channel Estimation for OTFS Systems

Tang

Kong

et al. 2023

Entropy

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“…Furthermore, it inherits the same multipath resistance as OFDM and as a unique modulation scheme based on delay-Doppler (DD) domain, allows each symbol to experience the same channel gain even under high Doppler conditions. Simultaneously, OTFS can be implemented as a pre-processing and post-processing module of a filtered OFDM system, which not only allows for dense and flexible encapsulation of the reference signals to support the critical requirements in large antenna arrays in massive multipleinput multiple-output (MIMO), but also achieves compatibility with 4G and 5G system architecture [11].…”

Section: Introductionmentioning

confidence: 99%

GAMP-Based Low-Complexity Sparse Bayesian Learning Channel Estimation for OTFS Systems in V2X Scenarios

Zheng,

Wang,

Wang

et al. 2023

Electronics

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Vehicle to everything (V2X) is widely regarded as a critical application for future wireless communication networks. In V2X, large relative speeds between vehicles may severely deteriorate the performance of communication between vehicles. Orthogonal time frequency space (OTFS) modulation, which converts time- and frequency-selective channels into non-selective channels in the delay-Doppler (DD) domain, provides a solution for establishing reliable wireless communications in V2X scenarios. However, in the complex multi-scattering scenarios, the channel also suffers from a serious inter-Doppler interference (IDI) problem, which poses a great challenge to the accurate demodulation of OTFS receiver signals. To address the above problems, this paper considers the variation of Doppler sampling points within one symbol when deriving the channel model, which effectively overcomes the IDI problem, and employs a basis expansion model (BEM) to convert the channel estimation into a sparse recovery problem for the basis coefficients. In addition, to better utilize the sparse nature of the OTFS channel, a generalized approximate message passing-sparse Bayesian learning (GAMP-SBL)-based algorithm is employed to estimate the basis coefficients of the channel. The complexity of this algorithm is greatly reduced compared to the conventional SBL algorithm. Finally, system simulation results are reported to verify the superiority of the proposed scheme.

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Dynamic Pilot Design for Multicast in the Internet of Vehicles Running at Different Speeds

Yang

Jiao

2023

IEEE Internet Things J.

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Spectral Efficient Modem Design With OTFS Modulation for Vehicular-IoT System

Cited by 4 publications

References 29 publications

Superimposed Perfect Binary Array-Aided Channel Estimation for OTFS Systems

Superimposed Perfect Binary Array-Aided Channel Estimation for OTFS Systems

GAMP-Based Low-Complexity Sparse Bayesian Learning Channel Estimation for OTFS Systems in V2X Scenarios

Dynamic Pilot Design for Multicast in the Internet of Vehicles Running at Different Speeds

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