Pith. sign in

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 2026-08-13T06:32:02.005865+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
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.420034Z digest=sha256:a47ec20c3aaac9fd4472b443245638cd2db009afc6994e73c69f20f640726753

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.431971Z digest=sha256:ae8f863e5bfde97189171528c3f752402100ad9f752ecb07366dc12076f2abe9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.437990Z digest=sha256:f7cace6178f871f7d32d8bb1a31f7c7a0c81332a8f4398e5f838dc5f790a027e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.447169Z digest=sha256:6efa41fa49abae400b026087d471fd45fc54cdb8f01627f139a67077834a45c5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.459930Z digest=sha256:fd25146e3fe5264978f7391d4af3bb663d94b9656087c840968ae00f17b8dabe

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.466450Z digest=sha256:26e46fcf164f2e1dc484ec612b507b5146a73ed4feac68b9fe2fa2a315742087

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.488333Z digest=sha256:ecf7f7ed4280a4346de4ee3bc53af2d2cd62c72f8d8046ae9784cc864abbc569

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:04:05.501255Z digest=sha256:31729c6f58c71e87860fbf20101b187fccfa787389ae482b2b26683c334dfce6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.526149Z digest=sha256:53e32f4bef49b570fc143a93f12dc76447af45914f720a743783663bf01de8d1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.552976Z digest=sha256:b2e7f74332fde2fa68e4a6556713dc00b77cd4f3debf17fbacbf04a3f3c50943

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.569720Z digest=sha256:8d2261e99157059a97d936cf78f7a047bbd6c0079f5b6ee4cd716ffd3e8db9db

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.583007Z digest=sha256:9e4380d65171c83424f97061154ff4d6e262cdb93b7bc898e6e38ee28aaa4d07

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.591904Z digest=sha256:44fecb9168155bb9ea0b465e5ecff2f4639b3dd09eebc84a5f97373818e5fe90

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.599151Z digest=sha256:586f92fb6c2405ba683c72e9879d43f2f17af2457c5c7ac2250c63b40e044e58

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.604717Z digest=sha256:f6849f8eaa618702c49a0a0df0eda7b70c9c67ef35ba46cd60893beb31e180ce

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.610179Z digest=sha256:05f7f1fc3445f0a88c73d5152e28802a8186928e19dc87b73d02cdded7ce929d

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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.615254Z digest=sha256:93143059ef27458ed524d464f31baa30780d217e1a2d58cdcf293be0bf94f814

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.621276Z digest=sha256:a3e0f53b0451a04e92c5b03a8173077e149cf798cd7ec0c34f6dedf4db342372

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.627811Z digest=sha256:c3abf1908b00f4b3deee15082210eb4c45233bc09ba1bc916857632f324811da

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.637515Z digest=sha256:425aaf55281399a5f123581d5a3c7f8078e5f5640bb3b08850626ccb2c9155ac

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.649026Z digest=sha256:8ad9b49c8391c417eacd73efa2e2bed5748cfad54e0aaac7d17a527a82d71473

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.661681Z digest=sha256:5486c89a1ad1c45a3a51a41a4b44194926600ed2e6bc1f27ff245d34973eee01

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.694412Z digest=sha256:46ef077278c991e5923609bc131a4ca3adfdfa0e8fb4f4e0ad24f66bd2b3dfe2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.700592Z digest=sha256:a83ef0edf2fb928184806efa0ce300c9db816f1df42587e73b06210d193c39a7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.715167Z digest=sha256:54dfc158a1a0d677b93a8199d51001a3f168f9063ac12ef4e89885ffcd1baa74

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.737907Z digest=sha256:516bb456b4fc7f7d8089b6c76324e60c1514dafa36020430e244a680674de659

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.747501Z digest=sha256:e68d1cc4a66ca427fa2a2fcec634233420f9381b5ab700656f379e321b8fe3d3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.757468Z digest=sha256:5b8c63779da9528c4e68b9798921eef8e7e15038fa5e1c5214074cb7651954f9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.767286Z digest=sha256:77790fa971eb37000e56aea5b1e3b4d3334d277ce689259bf8af9569c1db3a0b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.779835Z digest=sha256:a4d7650c85433061bc7025087f1ebe8f3e607c194fe68b47638b76c9d8f439e1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.789232Z digest=sha256:5d1d9e5297cbb126f136806d1beb1f425bcafc80dc085f9b7df73e02d9a4c563

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.798050Z digest=sha256:ed33c4c6d2cb48d9b2d6c8009a9a9494244d032da8eb48d449099a8632d72005

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.807226Z digest=sha256:c443c07e733a6607556c78f13026ee5bb4ad44fa58b88ecc6c5cacc5c359eb82

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.815433Z digest=sha256:c1b3dcc73c9157a717896344ab04610c1dfcc0305d8c28cd5a500e1193bf55bb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.825935Z digest=sha256:3106047ef44b281c776409dbba54b0cabc9c07fa5f7aacc5c8595394e2b434bd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.834276Z digest=sha256:30b5f3a020561dd5b4c7318be9cf6cfa9438c043acd293671b223054fc3062e3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.838992Z digest=sha256:f0ec8cbdbfb5c44b27d2182f1f1957e86b17edf92bf3e37194cf5d9a4a4aa561

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.843577Z digest=sha256:f43df9f146a2b746af7b54657db9b8de9eb70e76af7193ceac15dc1b88c599b8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.850233Z digest=sha256:04c17e869cb3e18fcc4295cf99abbd12d65c7c2f8942d4427c06fd04e9641e58

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.

source=pdf_text observed=2026-08-12T14:04:05.863444Z digest=sha256:57f1d2dfccd21bbae5914af76cdb1aed2f3f4a34cb66e259320e369fbf0cc3ae

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.

source=pdf_text observed=2026-08-12T14:04:05.876325Z digest=sha256:adf1efd850d8c7a1419149f3c3a8fed95eefd36046130a4eb37c27d94fcc9aaa

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.895464Z digest=sha256:ed74f185cc88a1919de0ad8a6c8c4d0c8461bced5106dc930aa69a65b84761e6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.902506Z digest=sha256:681dc5582970809ccbe656d41518763f8e20e66055a728138674370843ce0f85

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.910033Z digest=sha256:0a3700b14fe1d78edf2fa55e790d9d82e78bf83b8164729b5d2c4bb31c46ef84

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.921407Z digest=sha256:84993e65a1390cfb002e0272d6342cf501b0ccc852ec73c740e9215537660709

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.943678Z digest=sha256:cb284347029da288952480ae0a9352b08755da28b7e714d96fd97c268f64ee71

Pith citing papers

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

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

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:04:05.943678Z digest=sha256:cb284347029da288952480ae0a9352b08755da28b7e714d96fd97c268f64ee71