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OTFS: A New Generation of Modulation Addressing the Challenges of 5G

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arxiv 1802.02623 v1 pith:6GZZY6X6 submitted 2018-02-07 cs.IT math.IT

classification cs.ITmath.IT
keywords otfschanneldelay-dopplerfrequencylocalizedmodulationorthogonalradar
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In this paper, we introduce a new 2D modulation scheme referred to as OTFS (Orthogonal Time Frequency & Space) that multiplexes information QAM symbols over new class of carrier waveforms that correspond to localized pulses in a signal representation called the delay-Doppler representation. OTFS constitutes a far reaching generalization of conventional time and frequency modulations such as TDM and FDM and, from a broader perspective, it establishes a conceptual link between Radar and communication. The OTFS waveforms couple with the wireless channel in a way that directly captures the underlying physics, yielding a high-resolution delay-Doppler Radar image of the constituent reflectors. As a result, the time-frequency selective channel is converted into an invariant, separable and orthogonal interaction, where all received QAM symbols experience the same localized impairment and all the delay-Doppler diversity branches are coherently combined. The high resolution delay-Doppler separation of the reflectors enables OTFS to approach channel capacity with optimal performance-complexity tradeoff through linear scaling of spectral efficiency with the MIMO order and robustness to Doppler and multipath channel conditions. OTFS is an enabler for realizing the full promise of MUMIMO gains even in challenging 5G deployment settings where adaptation is unrealistic.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. MIMO Zak-OTFS: Channel Estimation, Detection, and Throughput Analysis

    eess.SP 2026-06 unverdicted novelty 7.0 of 10

    The paper derives the first MIMO Zak-OTFS system model from the physical channel, proposes DD-domain channel estimation, and reports SNR/Doppler crossover points versus CP-OFDM under CDL-C simulations.

  2. See, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic Manipulation

    cs.RO 2026-03 unverdicted novelty 4.0 of 10

    SPR grounds language instructions into spatial subgoals and uses a see-plan-rewind loop to recover from stalled progress, reporting +5% over MolmoAct on LIBERO and best OOD robustness on LIBERO-Plus.

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