Pith. sign in

REVIEW 7 cited by

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

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

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

classification cs.ITmath.IT
keywords otfschanneldelay-dopplerfrequencylocalizedmodulationorthogonalradar
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 7 Pith papers

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

  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. Bayesian Sensing for Time-Varying Channels in ISAC Systems

    eess.SP 2025-04 conditional novelty 6.0 of 10

    A two-layer variational Bayesian inference method estimates delay and Doppler simultaneously in time-varying ISAC channels, improving MSE over prior art.

  3. CDMA/OTFS Sensing Outperforms Pure OTFS at the Same Communication Throughput

    eess.SP 2025-01 conditional novelty 6.0 of 10

    CDMA-spread OTFS with Zadoff-Chu codes achieves better sensing range/velocity accuracy than plain OTFS at equal communication throughput.

  4. 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.

  5. Bit Error Rate and Performance Analysis of Multi-User OTFS under Nakagami-m Fading for 6G and Beyond Networks

    eess.SP 2025-05 reject novelty 4.0 of 10

    Closed-form BER formulas for OTFS over Nakagami-m fading are claimed, but the derivation drops terms and misuses incomplete Gamma functions.

  6. Multi-Carrier Faster-Than-Nyquist Signaling for OTFS Systems

    eess.SP 2025-01 conditional novelty 4.0 of 10

    MC-FTN-OTFS with EVD and SIC precoding raises capacity over Nyquist OTFS by using non-orthogonal pulses in both time and frequency.

  7. A Unifying View of OTFS and Its Many Variants

    eess.SP 2025-02 conditional novelty 3.0 of 10

    OTFS and its variants OSDM, V-OFDM, OTSM, ODDM, OCDM, and AFDM can be described by one shared linear model, with OSDM and V-OFDM being exact special cases of OTFS under rectangular pulses and Nyquist sampling.

Pith tools