Paper Citation Record · LEDGER

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity

As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 3 inbound Pith citation observations for arXiv:2412.06713.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.06713 v2

Coverage vector

measured 61 of 61 reference resolution

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:56:04.281204Z

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A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T01:09:16.637108Z

Reference resolution

61 of 61 outbound references displayed

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External citation measurements

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Outbound references

Observation 8afc80f7-e726-484d-8402-13699fdea1a3 · outbound

This paper cites Noncooperative cellular wireless with unlimited num- bers of base station antennas,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Noncooperative cellular wireless with unlimited num- bers of base station antennas,

Reference 1

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Source-reported events for the cited work

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Observation a54e2f11-1cc7-48d8-9f8c-80e9d9eba3ac · outbound

This paper cites An overview of massive MIMO: Benefits and challenges,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity An overview of massive MIMO: Benefits and challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:03.043186Z

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Observation c4747c40-f11d-44df-8881-9b5cefd597b3 · outbound

This paper cites Massive MIMO has unlimited capacity,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Massive MIMO has unlimited capacity,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:03.015994Z

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Observation 72784112-9564-4cc0-b6dd-a3261a980560 · outbound

This paper cites Toward massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Toward massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T19:27:01.267732Z

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Observation d55d0dad-3fe7-4aad-abcb-a3782ec41c77 · outbound

This paper cites Massive MIMO evolution towards 3GPP Release 18,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Massive MIMO evolution towards 3GPP Release 18,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.983191Z

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Observation 17c7c755-be9c-423c-923b-ab8894141cbb · outbound

This paper cites Downlink channel estimation in multiuser massive MIMO with hidden Markovian sparsity,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Downlink channel estimation in multiuser massive MIMO with hidden Markovian sparsity,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.957634Z

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Observation 6b595dd6-1694-4729-a854-00935904b2fa · outbound

This paper cites Downlink channel reconstruction for spatial mul- tiplexing in massive MIMO systems,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Downlink channel reconstruction for spatial mul- tiplexing in massive MIMO systems,

Reference 7

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Observation 82242680-613f-4e7b-926b-c84e11e4deeb · outbound

This paper cites OFDM-based massive grant-free transmis- sion over frequency-selective fading channels,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity OFDM-based massive grant-free transmis- sion over frequency-selective fading channels,

Reference 8

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Observation cb32c8d0-406c-4db3-a058-2c040273b4c6 · outbound

This paper cites Sub-6 GHz to mmWave for 5G-advanced and beyond: Channel measurements, characteristics and impact on system performance,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Sub-6 GHz to mmWave for 5G-advanced and beyond: Channel measurements, characteristics and impact on system performance,

Reference 9

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Observation a6fadae7-7e27-45f7-845f-130f87fe6db8 · outbound

This paper cites A specular approach to MIMO frequency- selective channel tracking and prediction,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity A specular approach to MIMO frequency- selective channel tracking and prediction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.862173Z

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Observation 07ba3300-bb58-4e19-9a47-d4ddfa2e40f3 · outbound

This paper cites Extrapolation of MIMO mobile-to-mobile wireless channels using parametric-model- based prediction,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Extrapolation of MIMO mobile-to-mobile wireless channels using parametric-model- based prediction,

Reference 11

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Observation 5dcf763e-20da-4010-b372-d4cdf2fa3f47 · outbound

This paper cites Parametric Schemes for Prediction of Wideband MIMO Wireless Channels.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Parametric Schemes for Prediction of Wideband MIMO Wireless Channels

Reference 12

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Observation acb575a9-ed04-4cc5-a5b5-2c14ee7da458 · outbound

This paper cites Addressing the curse of mobility in massive MIMO with prony-based angular-delay domain channel predictions,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Addressing the curse of mobility in massive MIMO with prony-based angular-delay domain channel predictions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.816828Z

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Observation c37f8876-5de2-4dd3-8242-0a2e02815983 · outbound

This paper cites A partial reciprocity-based channel prediction framework for FDD massive MIMO with high mobility,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity A partial reciprocity-based channel prediction framework for FDD massive MIMO with high mobility,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.794918Z

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Observation 21cd6368-e0b6-40c4-97c8-277b6dd08b28 · outbound

This paper cites A multi-dimensional matrix pencil-based channel prediction method for massive MIMO with mobility,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity A multi-dimensional matrix pencil-based channel prediction method for massive MIMO with mobility,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.774115Z

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Observation c8dadedf-3678-420e-b928-54f351a828e7 · outbound

This paper cites Joint channel estimation and prediction for massive MIMO with frequency hopping sounding,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Joint channel estimation and prediction for massive MIMO with frequency hopping sounding,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.749766Z

Source-reported events for the cited work

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Observation 66c34355-ba8c-41df-b900-e7e2020f14d5 · outbound

This paper cites Channel acquisition for HF skywave mas- sive MIMO-OFDM communications,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Channel acquisition for HF skywave mas- sive MIMO-OFDM communications,

Reference 17

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Observation aa345af4-969b-4eb9-b82c-d9fe9d891a0d · outbound

This paper cites Channel prediction with time-varying Doppler spectrum in high-mobility scenarios: A polynomial Fourier transform based approach and field measurements,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Channel prediction with time-varying Doppler spectrum in high-mobility scenarios: A polynomial Fourier transform based approach and field measurements,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.705721Z

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Observation 56a0e913-08e1-4e50-b736-f747bd1c77ef · outbound

This paper cites Robust multi-user channel tracking scheme for 5G new radio,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Robust multi-user channel tracking scheme for 5G new radio,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.687334Z

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Observation 48ad0ee6-2a8f-415c-b195-a6b427083cf1 · outbound

This paper cites A two-stage 2D channel extrapolation scheme for TDD 5G NR systems,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity A two-stage 2D channel extrapolation scheme for TDD 5G NR systems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.669955Z

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Observation 27dbfa5d-56b8-4cd1-9ea7-b7f52c2b23e6 · outbound

This paper cites Sparse Bayesian learning for the time-varying massive MIMO channels: Acquisition and tracking,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Sparse Bayesian learning for the time-varying massive MIMO channels: Acquisition and tracking,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.654701Z

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Observation 926525a9-f71b-40d3-8312-b62eb4939b34 · outbound

This paper cites Time-varying massive MIMO channel estima- tion: Capturing, reconstruction, and restoration,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Time-varying massive MIMO channel estima- tion: Capturing, reconstruction, and restoration,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.638706Z

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Observation 21131065-2383-4315-b52a-0f7bd3acc52d · outbound

This paper cites Sparse doubly-selective channel es- timation techniques for OSTBC MIMO-OFDM systems: A hierarchical Bayesian Kalman filter based approach,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Sparse doubly-selective channel es- timation techniques for OSTBC MIMO-OFDM systems: A hierarchical Bayesian Kalman filter based approach,

Reference 23

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Observation ea2488da-41d7-4e89-99b8-c78d625ae2c3 · outbound

This paper cites Sparse, group-sparse, and on- line Bayesian learning aided channel estimation for doubly-selective mmWave hybrid MIMO OFDM systems,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Sparse, group-sparse, and on- line Bayesian learning aided channel estimation for doubly-selective mmWave hybrid MIMO OFDM systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.594845Z

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Observation cd25cc1a-a683-4683-81a7-77cc54578c96 · outbound

This paper cites Channel prediction in high-mobility massive MIMO: From spatio-temporal autoregression to deep learning,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Channel prediction in high-mobility massive MIMO: From spatio-temporal autoregression to deep learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.575742Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91cef360-486c-4862-9850-90fafd82885f · outbound

This paper cites Massive MIMO channel prediction: Kalman filtering vs. machine learning,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Massive MIMO channel prediction: Kalman filtering vs. machine learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.555330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 350e859d-320f-4363-a2a3-d46b51afb633 · outbound

This paper cites Two-stage based partial online optimization channel prediction for massive MIMO in high-mobility,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Two-stage based partial online optimization channel prediction for massive MIMO in high-mobility,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.536171Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c87470f2-4b75-430c-a479-1fcc2bedd705 · outbound

This paper cites Learning to estimate: A real-time online learning framework for MIMO-OFDM channel estimation,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Learning to estimate: A real-time online learning framework for MIMO-OFDM channel estimation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.517754Z

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Observation 5b76c9ae-7097-4c31-893b-b0fec88020d1 · outbound

This paper cites Time varying channel tracking with spatial and temporal BEM for massive MIMO systems,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Time varying channel tracking with spatial and temporal BEM for massive MIMO systems,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.499596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a43da43c-1122-4913-beba-9e206af3b86b · outbound

This paper cites Exploiting dynamic sparsity for downlink FDD-massive MIMO channel tracking,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Exploiting dynamic sparsity for downlink FDD-massive MIMO channel tracking,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.482535Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2c6ec85-92e7-4420-8f9b-c8fcb7d32954 · outbound

This paper cites Sparse channel estimation via hierarchical hybrid message passing for massive MIMO-OFDM systems,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Sparse channel estimation via hierarchical hybrid message passing for massive MIMO-OFDM systems,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.464628Z

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Observation 74f6beb9-974e-4ddd-aee5-8a67efca7940 · outbound

This paper cites Downlink channel prediction for time-varying FDD massive MIMO systems,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Downlink channel prediction for time-varying FDD massive MIMO systems,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.442318Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77ad45e6-d32d-44df-a60b-bfc3a3059590 · outbound

This paper cites Channel nonstationarity and consis- tency for beyond 5G and 6G: A survey,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Channel nonstationarity and consis- tency for beyond 5G and 6G: A survey,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.417639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5976102-5c53-4289-9dee-b56c2fc7d5f5 · outbound

This paper cites A general 3D non-stationary 6G channel model with time-space consistency,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity A general 3D non-stationary 6G channel model with time-space consistency,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.396139Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11be3d30-7038-4b49-a151-fd7b73bea6ca · outbound

This paper cites Joint beam alignment and Doppler estima- tion for fast time-varying wideband mmWave channels,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Joint beam alignment and Doppler estima- tion for fast time-varying wideband mmWave channels,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.376923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5a426b8-4697-4217-8b18-8e4c82e652c6 · outbound

This paper cites A general 3D non-stationary wireless channel model for 5G and beyond,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity A general 3D non-stationary wireless channel model for 5G and beyond,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.355653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc9f124e-7ba4-48e1-a58d-e8b0769aa9fd · outbound

This paper cites A novel 3D beam domain channel model for massive MIMO communication systems,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity A novel 3D beam domain channel model for massive MIMO communication systems,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.337012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a192266-f579-40d0-acb9-39abb974dd70 · outbound

This paper cites Tensor decompositions and applications,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Tensor decompositions and applications,

Reference 38

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Source-reported events for the cited work

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Observation 875054cf-c715-43a6-8a92-b24ed6705426 · outbound

This paper cites NR; physical channels and modulation,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity NR; physical channels and modulation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.302615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 828d1307-e204-4043-8779-da5846903c16 · outbound

This paper cites Blind signal separation via tensor decomposition with Vandermonde factor: Canonical polyadic decompo- sition,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Blind signal separation via tensor decomposition with Vandermonde factor: Canonical polyadic decompo- sition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.280218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3bfa5173-3527-4b3c-8589-6181cf3700f9 · outbound

This paper cites Tensor CP decomposition with structured factor matrices: Algorithms and performance,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Tensor CP decomposition with structured factor matrices: Algorithms and performance,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.263263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b518586f-349a-4f3b-9926-0825c92abb4e · outbound

This paper cites Dictionary-based tensor canonical polyadic decomposition,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Dictionary-based tensor canonical polyadic decomposition,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.245468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 445e7e2f-f192-4b0f-abf8-f5693be1083e · outbound

This paper cites BP-VB-EP based static and dynamic sparse Bayesian learning with Kronecker structured dictionaries,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity BP-VB-EP based static and dynamic sparse Bayesian learning with Kronecker structured dictionaries,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.227233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c39f2b71-1a1f-4d59-9751-ba7c92754352 · outbound

This paper cites Sparse Bayesian learning based tensor dictionary learning and signal recovery with application to MIMO channel estimation,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Sparse Bayesian learning based tensor dictionary learning and signal recovery with application to MIMO channel estimation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.207805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97d3f242-09fc-4880-ac8d-19b1cedebd29 · outbound

This paper cites Towards flexible sparsity-aware modeling: Automatic tensor rank learning using the generalized hyperbolic prior,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Towards flexible sparsity-aware modeling: Automatic tensor rank learning using the generalized hyperbolic prior,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.187234Z

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Observation d1c042d8-7fb9-4065-b20a-b1714dee5053 · outbound

This paper cites Sparse Bayesian learning based channel extrapolation for RIS assisted MIMO-OFDM,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Sparse Bayesian learning based channel extrapolation for RIS assisted MIMO-OFDM,

Reference 46

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This paper cites Variance state propagation for structured sparse Bayesian learning,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Variance state propagation for structured sparse Bayesian learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.148903Z

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Observation 93a7e73e-1436-4ace-beca-e7f579388eb2 · outbound

This paper cites Joint scattering environment sensing and channel estimation based on non-stationary Markov random field,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Joint scattering environment sensing and channel estimation based on non-stationary Markov random field,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.128404Z

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Observation c9f7da60-eb1f-4f01-accb-dece4893eb93 · outbound

This paper cites Structured hybrid message passing based channel estimation for massive MIMO-OFDM systems,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Structured hybrid message passing based channel estimation for massive MIMO-OFDM systems,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.108267Z

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Observation 144b55c3-2a06-47bb-8d62-2bb897ba8c00 · outbound

This paper cites Advances in variational inference,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Advances in variational inference,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.091483Z

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Observation 43d8e6af-f114-4316-a966-bbc6388089ba · outbound

This paper cites Variational message passing,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Variational message passing,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.074829Z

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Observation 3dc16125-ce24-467c-9066-7ae8795bc27a · outbound

This paper cites Constructing free-energy approximations and generalized belief propagation algorithms,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Constructing free-energy approximations and generalized belief propagation algorithms,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.057722Z

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Observation 265dd136-e993-40fc-9b75-2bd9a3485f3e · outbound

This paper cites Unifying message passing algorithms under the framework of constrained Bethe free energy minimization,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Unifying message passing algorithms under the framework of constrained Bethe free energy minimization,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.035564Z

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Observation 4813acfa-6100-44f7-9abb-3ce7c3088e61 · outbound

This paper cites an unresolved cited work.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T19:27:01.605949Z

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Observation 45c6bb1b-3b48-4432-a855-8397e6288f5d · outbound

This paper cites Dynamic compressive sensing of time-varying signals via approximate message passing,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Dynamic compressive sensing of time-varying signals via approximate message passing,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:02.000063Z

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Observation 2f60e36e-e3e8-403f-9822-01ddf8a9d2d8 · outbound

This paper cites Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:01.983534Z

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Observation c7928e15-f621-442c-8386-80fdbc483f69 · outbound

This paper cites Two-dimensional pattern-coupled sparse Bayesian learning via generalized approximate message passing,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Two-dimensional pattern-coupled sparse Bayesian learning via generalized approximate message passing,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:01.820550Z

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Observation 6d8ecea1-1f3c-4657-953c-7398f452ebc5 · outbound

This paper cites The expectation-maximization algorithm,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity The expectation-maximization algorithm,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:01.795510Z

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Observation 2b761c3c-9791-42a8-8918-cfeee61d978e · outbound

This paper cites Beam-delay domain channel estimation for mmWave XL-MIMO systems,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Beam-delay domain channel estimation for mmWave XL-MIMO systems,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:01.777354Z

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Observation 553d99b0-d142-499e-8d8f-a7f922b6a27b · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz (Release 18),.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity Study on channel model for frequencies from 0.5 to 100 GHz (Release 18),

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:01.757229Z

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Observation 2edf17e9-fddb-47f5-a2de-7129f7f74498 · outbound

This paper cites QuaDRiGa: A 3-D multi-cell channel model with time evolution for enabling virtual field trials,.

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity QuaDRiGa: A 3-D multi-cell channel model with time evolution for enabling virtual field trials,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:27:01.736962Z

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Pith citing papers

Observation c9763805-8987-4dfc-99ab-cd0158bca3c1 · inbound

Extract the Best, Discard the Rest: CSI Feedback with Offline Large AI Models cites this paper.

Extract the Best, Discard the Rest: CSI Feedback with Offline Large AI Models A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity

Reference 5

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Interference in Spectrum-Sharing Integrated Terrestrial and Satellite Networks: Modeling, Approximation, and Robust Transmit Beamforming cites this paper.

Interference in Spectrum-Sharing Integrated Terrestrial and Satellite Networks: Modeling, Approximation, and Robust Transmit Beamforming A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T04:11:18.957312Z

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Observation fc0268d1-dd69-489b-842b-389ef2bb3cf4 · inbound

DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition cites this paper.

DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:09:16.707888Z

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