Interference Cancellation and Iterative Detection for Orthogonal Time Frequency Space Modulation

By Patchava Raviteja, Khoa Tran Phan, Yi Hong, Emanuele Viterbo. IEEE Transactions on Wireless Communications, 2018

1,070 citations recorded by the source corpus.

The recently proposed orthogonal time–frequency–space (OTFS) modulation technique was shown to provide significant error performance advantages over orthogonal frequency division multiplexing (OFDM) over delay-Doppler channels. In this paper, we first derive the explicit input–output relation describing OTFS modulation and demodulation (mod/demod). We then analyze the cases of: 1) ideal pulse-shaping waveforms that satisfy the bi-orthogonality conditions and 2) rectangular waveforms which do not. We show that while only inter-Doppler interference (IDI) is present in the former case, additional inter-carrier interference (ICI) and inter-symbol interference (ISI) occur in the latter case. We next characterize the interferences and develop a novel low-complexity yet efficient message passing (MP) algorithm for joint interference cancellation (IC) and symbol detection. While ICI and ISI are eliminated through appropriate phase shifting, IDI can be mitigated by adapting the MP algorithm to account for only the largest interference terms. The MP algorithm can effectively compensate for a wide range of channel Doppler spreads. Our results indicate that OTFS using practical rectangular waveforms can achieve the performance of OTFS using ideal but non-realizable pulse-shaping waveforms. Finally, simulation results demonstrate the superior error performance gains of the proposed uncoded OTFS schemes over OFDM under various channel conditions.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0762eb398efe09f358435aebec556a50dd543a06

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Citations in the corpus

Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks (2021, methodology): “For simplicity, we consider a sufﬁcient Doppler resolution such that ν i = k i NT , where k i is an integer [22].”
Off-grid Channel Estimation with Sparse Bayesian Learning for OTFS Systems (2021, methodology): “25 km/h among the transceivers or scatters [20] and the maximum propagation distance difference of 2.”
A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions (2022, background): “The DD domain symbol multiplexing enables a direct coupling of the transmitted symbols with the channel’s delay-Doppler spread function, which has nice properties, such as quasi-static, compact, and sparse, to be exploited to achieve a low channel estimation overhead and full channel diversity with ”
Orthogonal Time-Frequency Space Modulation: A Promising Next-Generation Waveform (2021, methodology): “Furthermore, as the computational complexity and PAPR of OTFS modulation are proportional to N [12], we prefer to choose a smaller N with a longer slot duration T .”
Practical Pulse-Shaping Waveforms for Reduced-Cyclic-Prefix OTFS (2019, methodology): “For the detection of transmit symbols, we use the message-passing detector proposed in our earlier work [16], [17].”
Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey (2023, methodology): “Signal processing procedure for OTFS signal [30].”
Low Complexity Iterative Rake Decision Feedback Equalizer for Zero-Padded OTFS Systems (2020, neutral): “Performance is compared with the state of the art message passing algorithm (MPA) described in [22], [23] (labeled as OTFS-MPA in Fig.”
Embedded Pilot-Aided Channel Estimation for OTFS in Delay–Doppler Channels (2018, methodology): “Although these pulses do not satisfy the bi-orthogonality conditions [5], we show that the proposed embedded channel estimation schemes can also be employed for this case.”
Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO (2019, background): “This is different from the cases with ideal waveform [34] and rectangular waveform [40].”
On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication (2020, methodology): “In order to proceed further in a tractable manner, as done in [25], we approximate the integral of the cross-ambiguity function with a discrete sum.”