Paper Citation Record · LEDGER

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning

As of 13 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2411.15762.

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

pith.paper-citation-record.v1
2411.15762 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:04:05.943678Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:04:05.943678Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T14:04:06.023404Z

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy42
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d5c25f5-a81d-415e-8b01-d346ad1354f3 · outbound

This paper cites Multi-gigabit mi llimeter wave wireless communications for 5g: from ﬁxed access to cellula r networks,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Multi-gigabit mi llimeter wave wireless communications for 5g: from ﬁxed access to cellula r networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.622029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a4a0684-d567-472e-9b9f-641771eb5ab9 · outbound

This paper cites An overview of signal processing techniques for milli meter wave mimo systems,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning An overview of signal processing techniques for milli meter wave mimo systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.563874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d7b89fb-654d-42eb-bab7-97a5d3ae271e · outbound

This paper cites Millimeter-wave beamforming as an enabling t echnology for 5g cellular communications: theoretical feasibility a nd prototype results,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Millimeter-wave beamforming as an enabling t echnology for 5g cellular communications: theoretical feasibility a nd prototype results,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.507157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e751152a-5308-4867-969e-fcf6fbd8a1e0 · outbound

This paper cites What will 5g be?.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning What will 5g be?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.473494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c2cfb8e-642e-4eb6-be15-98f0077bbdd1 · outbound

This paper cites Hybrid beamforming fo r 5g and beyond millimeter-wave systems: A holistic view,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Hybrid beamforming fo r 5g and beyond millimeter-wave systems: A holistic view,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.452335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d4d4b078-9c36-4e99-ba0b-366f166b7d26 · outbound

This paper cites Hybrid beamforming for massive mimo: A survey,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Hybrid beamforming for massive mimo: A survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.432542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c17d7d67-1f3d-461d-9e81-3a1a30a0f184 · outbound

This paper cites Spatially sparse precoding in millimeter wave mimo system s,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Spatially sparse precoding in millimeter wave mimo system s,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.411013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f223629e-c912-49cc-a737-97f997a3c16b · outbound

This paper cites Hybrid digital and analog beamform ing design for large-scale antenna arrays,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Hybrid digital and analog beamform ing design for large-scale antenna arrays,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:05.501255Z

Source-reported events for the cited work

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Observation 2805e80b-5e5a-429b-a023-6b98eb72bf32 · outbound

This paper cites Alternati ng minimization algorithms for hybrid precoding in millimeter wave mimo sys tems,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Alternati ng minimization algorithms for hybrid precoding in millimeter wave mimo sys tems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.349081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1cb2323c-16e9-4a83-8e14-06165e5e536a · outbound

This paper cites Frequency selective hybr id precoding for limited feedback millimeter wave systems,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Frequency selective hybr id precoding for limited feedback millimeter wave systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.323824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8eecd43e-e6e2-48f3-ad8f-6345c7b9b943 · outbound

This paper cites Hyb rid beamforming for millimeter wave systems using the mmse crit erion,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Hyb rid beamforming for millimeter wave systems using the mmse crit erion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.288591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ad33d806-9a38-4950-918d-e91e670a376e · outbound

This paper cites Hybrid mmse precodin g for millimeter wave mu-miso via trace maximization,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Hybrid mmse precodin g for millimeter wave mu-miso via trace maximization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.229819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 58359729-9d09-4859-b9ff-dd6cf9cdae81 · outbound

This paper cites Low-complexity hybrid pre coding in massive multiuser mimo systems,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Low-complexity hybrid pre coding in massive multiuser mimo systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.207728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 83ec9768-cace-4f73-99f2-97a627c6ea53 · outbound

This paper cites Joint transceiver design with antenna selection for large -scale mu-mimo mmwave systems,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Joint transceiver design with antenna selection for large -scale mu-mimo mmwave systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.175066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 95cc835a-af4e-4f1e-ba2a-40beddeeb35f · outbound

This paper cites An Iterativ ely Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning An Iterativ ely Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.143365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23991250-d8ad-4f2d-bddc-47cef3ac2e12 · outbound

This paper cites Hyb rid mmse precoding and combining designs for mmwave multiuser syste ms,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Hyb rid mmse precoding and combining designs for mmwave multiuser syste ms,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.101130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2eadc33b-9666-4bb9-9155-6eeef83b538d · outbound

This paper cites Deep learning-bas ed channel estimation for beamspace mmwave massive mimo systems,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Deep learning-bas ed channel estimation for beamspace mmwave massive mimo systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.073624Z

Source-reported events for the cited work

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Observation 2bf7b600-c208-4a00-aacf-3c035f408d3f · outbound

This paper cites Sparse channel esti mation and hybrid precoding using deep learning for millimeter wav e massive mimo,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Sparse channel esti mation and hybrid precoding using deep learning for millimeter wav e massive mimo,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.032515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d32bb39e-a2c8-47db-a51e-758f6f510ccc · outbound

This paper cites Model-driven deep learning based channel estimation and feedback for millime ter-wave massive hybrid mimo systems,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Model-driven deep learning based channel estimation and feedback for millime ter-wave massive hybrid mimo systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:07.008835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8095ac5a-bbd2-4902-8b8f-d5bc1befb800 · outbound

This paper cites Deep learning for mas sive mimo csi feedback,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Deep learning for mas sive mimo csi feedback,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.979730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d1f1ffb-6fc2-48ac-88ce-27938509777c · outbound

This paper cites Model-driven deep learning for mimo detection,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Model-driven deep learning for mimo detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.953261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2106dd3a-757b-49e2-99eb-c1b76b9df438 · outbound

This paper cites Adapt ive neural signal detection for massive mimo,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Adapt ive neural signal detection for massive mimo,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.925442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b926b4c-e117-4978-8c11-49c48a839a84 · outbound

This paper cites Deep-l earning- based millimeter-wave massive mimo for hybrid precoding,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Deep-l earning- based millimeter-wave massive mimo for hybrid precoding,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.907887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2c57f08a-fc73-419d-9a5e-533ba1d9075c · outbound

This paper cites Beamforming Design for Large-Scale A ntenna Arrays Using Deep Learning,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Beamforming Design for Large-Scale A ntenna Arrays Using Deep Learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.873351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 97d6a168-c71f-4885-8ae3-da3a3985e966 · outbound

This paper cites T wo- timescale end-to-end learning for channel acquisition and hybrid pre- coding,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning T wo- timescale end-to-end learning for channel acquisition and hybrid pre- coding,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.804788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1522ebef-1ad2-4085-81cb-0fac0e4872f0 · outbound

This paper cites Hybrid precod ing for multiuser millimeter wave massive mimo systems: A deep lear ning approach,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Hybrid precod ing for multiuser millimeter wave massive mimo systems: A deep lear ning approach,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.787104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5b41b4c-4525-4ffa-9878-ed2d3df0e308 · outbound

This paper cites Hybrid beamforming for mmwave massive mimo systems using conditio nal generative adversarial networks,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Hybrid beamforming for mmwave massive mimo systems using conditio nal generative adversarial networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.765138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b2566673-8252-4db4-9c4b-528b93841986 · outbound

This paper cites Atten tion- based hybrid precoding for mmwave mimo systems,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Atten tion- based hybrid precoding for mmwave mimo systems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.715198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c27ff3a6-0188-4647-a70f-a1539cd85ba8 · outbound

This paper cites Model-driven de ep learning for hybrid precoding in millimeter wave mu-mimo system,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Model-driven de ep learning for hybrid precoding in millimeter wave mu-mimo system,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.667379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0857a5b7-3041-4d19-b1ff-280f12d957c6 · outbound

This paper cites Learn to rapidly and robustl y optimize hybrid precoding,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Learn to rapidly and robustl y optimize hybrid precoding,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.627296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea8a6ff9-1955-4a48-8a93-d463abd525fb · outbound

This paper cites Deep unfolding hybrid beamfo rming designs for thz massive mimo systems,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Deep unfolding hybrid beamfo rming designs for thz massive mimo systems,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.599075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0b67388-f3c3-4540-b4ea-b8a76b1fb03c · outbound

This paper cites Transfer learning and meta learning-based fast downlink beamformin g adapta- tion,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Transfer learning and meta learning-based fast downlink beamformin g adapta- tion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.575081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c706cc0e-3406-4047-84e8-a2392ae8e480 · outbound

This paper cites Embedding model-based fast meta learning for downlink beamforming ad aptation,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Embedding model-based fast meta learning for downlink beamforming ad aptation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.550062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b90be7b3-7267-442f-81d5-d4127c02d77f · outbound

This paper cites Meta lea rning- based mimo detectors: Design, simulation, and experimenta l test,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Meta lea rning- based mimo detectors: Design, simulation, and experimenta l test,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.505529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 13d8672b-4ae9-4c60-bb42-e2b13c48d8a0 · outbound

This paper cites Robust beamforming for ris - aided communications: Gradient-based manifold meta learn ing,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Robust beamforming for ris - aided communications: Gradient-based manifold meta learn ing,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.476994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96c12ef2-a37a-452c-9d04-41d3e1764b40 · outbound

This paper cites Metalearning-based alternating minimization algorithm for nonconvex optimization,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Metalearning-based alternating minimization algorithm for nonconvex optimization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.445420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f514cfd-480f-4e39-95d3-52afde494111 · outbound

This paper cites A lea rning-aided ﬂexible gradient descent approach to miso beamforming,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning A lea rning-aided ﬂexible gradient descent approach to miso beamforming,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.409740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 41387de6-d65a-4795-8128-56178a0373c7 · outbound

This paper cites A deep learning-based fr amework for low complexity multiuser mimo precoding design,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning A deep learning-based fr amework for low complexity multiuser mimo precoding design,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.358910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a652370-e889-4107-8e51-e6f188ba90a7 · outbound

This paper cites A d ata and model-driven deep learning approach to robust downlink bea mforming optimization,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning A d ata and model-driven deep learning approach to robust downlink bea mforming optimization,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.327450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 91cc056f-607e-427e-9bdd-aa28cfd3d3fd · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning KAN: Kolmogorov-Arnold Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:05.863444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93406cb4-4624-42dd-af36-2015620425aa · outbound

This paper cites KAN or MLP: A Fairer Comparison.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning KAN or MLP: A Fairer Comparison

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:05.876325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a15bcf-ff4b-4ea8-ae2a-bf5f0d15ca2b · outbound

This paper cites Rethinking wmmse: Can its complexity scale linearly with the number of bs antennas ?.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Rethinking wmmse: Can its complexity scale linearly with the number of bs antennas ?

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.303942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fbb2515a-f13c-40a9-8f75-e68ab036831f · outbound

This paper cites Hybrid beamforming for mil limeter wave multi-user mimo systems using learning machine,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Hybrid beamforming for mil limeter wave multi-user mimo systems using learning machine,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.278457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d1cdc43d-9049-4203-a510-1bb88e44eeec · outbound

This paper cites Robust sum rate optimization for the downlink multiuser mimo systems: Wors t-case design,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Robust sum rate optimization for the downlink multiuser mimo systems: Wors t-case design,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.254881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2c5e478a-dd8c-476a-aee0-d74580b56362 · outbound

This paper cites A uniﬁed framework for communications t hrough mimo channels,.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning A uniﬁed framework for communications t hrough mimo channels,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:06.237719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1c83d8fd-4470-41fa-9603-593750fa13b8 · outbound

This paper cites Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning.

Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:04:06.038802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 1c83d8fd-4470-41fa-9603-593750fa13b8 · inbound