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Paper Citation Record · LEDGER

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks

As of 9 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2606.05246.

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

pith.paper-citation-record.v1
2606.05246 v2

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measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:29:26.222141Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T08:11:43.344245Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T08:17:44.895074Z

Reference resolution

37 of 37 outbound references displayed

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Outbound references

Observation 47426404-3489-4da4-a045-6dcd4dddfa4a · outbound

This paper cites Framework and overall objectives of the future development of imt for 2030 and beyond,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Framework and overall objectives of the future development of imt for 2030 and beyond,

Reference 1

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Observation dbe4324f-11dd-4a8a-b5f1-6618e6ca9c8e · outbound

This paper cites Ericsson mobility report june 2024,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Ericsson mobility report june 2024,

Reference 2

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Observation 6940b6ea-b18e-4370-ba7a-0892dc6e853f · outbound

This paper cites 6G wireless systems: Vision, requirements, challenges, insights, and opportunities,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks 6G wireless systems: Vision, requirements, challenges, insights, and opportunities,

Reference 3

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Observation 3b80702b-105f-44b9-8895-c9805e7042b7 · outbound

This paper cites The roadmap to 6g: Ai empowered wireless networks,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks The roadmap to 6g: Ai empowered wireless networks,

Reference 4

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Observation 2a3271e1-f9ad-494f-83ae-0629334d787c · outbound

This paper cites Multi-cell MIMO cooperative networks: A new look at interference,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Multi-cell MIMO cooperative networks: A new look at interference,

Reference 5

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Observation d8b46177-ee99-40d5-8407-7c90a9ea3b7e · outbound

This paper cites Optimal resource allocation in coordi- nated multi-cell systems,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Optimal resource allocation in coordi- nated multi-cell systems,

Reference 6

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Observation b21bf7d8-8203-435c-acdb-3fc41405e9ce · outbound

This paper cites Downlink scheduling and resource allocation for ofdm systems,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Downlink scheduling and resource allocation for ofdm systems,

Reference 7

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Observation d7a3e98e-a721-4b52-b5dd-bf406c67fb58 · outbound

This paper cites On the complexity of joint subcarrier and power allocation for multi-user ofdma systems,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks On the complexity of joint subcarrier and power allocation for multi-user ofdma systems,

Reference 8

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Observation 24170bee-2229-4ffb-9ac2-6a9014629173 · outbound

This paper cites Weighted max-min fair beam- forming, power control, and scheduling for a miso downlink,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Weighted max-min fair beam- forming, power control, and scheduling for a miso downlink,

Reference 9

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source=pdf_text observed=2026-08-02T12:29:22.756253Z digest=sha256:acd9e267ba9e6fb9c92898d0ec8f1c02e79edf656e08d436b3192550cb68c980

Observation d9d9db6a-bae1-4046-a3c3-b88d23fa82e6 · outbound

This paper cites Multicell coordination via joint schedul- ing, beamforming, and power spectrum adaptation,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Multicell coordination via joint schedul- ing, beamforming, and power spectrum adaptation,

Reference 10

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source=pdf_text observed=2026-08-02T12:29:22.883698Z digest=sha256:030ef039e8c3960fd2898c69916e2c158b821e5f32e8ddf58826488fa2865f3c

Observation d3b6dab4-5501-42bd-8417-360c5eb1e6af · outbound

This paper cites Downlink beamforming and resource al- location in multicell MISO-OFDMA systems,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Downlink beamforming and resource al- location in multicell MISO-OFDMA systems,

Reference 11

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Observation 661c187a-5b2c-4b05-b3dd-8a1a3d0c06a4 · outbound

This paper cites MIMO-OFDMA rate allocation and beamformer design using a multi-access channel framework,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks MIMO-OFDMA rate allocation and beamformer design using a multi-access channel framework,

Reference 12

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Observation 20e1fb21-3654-4b80-b1f7-35a8f9a7f2f3 · outbound

This paper cites Weighted sum-rate maximization using weighted mmse for mimo-bc beamforming design,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Weighted sum-rate maximization using weighted mmse for mimo-bc beamforming design,

Reference 13

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Observation c9420113-7cc1-42b7-b847-113b97ab5695 · outbound

This paper cites An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,

Reference 14

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Observation af0ff8ea-b874-47c3-97d8-3401b47b0cbe · outbound

This paper cites Fractional programming for communication systems—part I: Power control and beamforming,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Fractional programming for communication systems—part I: Power control and beamforming,

Reference 15

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Observation e8e256aa-b2ae-41ff-99c6-72c456d0a6f6 · outbound

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

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Rethinking WMMSE: Can its complexity scale linearly with the number of BS antennas?

Reference 16

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Observation 47907176-6b59-4acf-8efd-22d667af11a1 · outbound

This paper cites Fractional Programming for Communication Systems--Part II: Uplink Scheduling via Matching.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Fractional Programming for Communication Systems--Part II: Uplink Scheduling via Matching

Reference 17

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Observation 482769f8-de3a-48e8-a28c-d51122d5530c · outbound

This paper cites Optimizing downlink resource al- location in multiuser mimo networks via fractional programming and the hungarian algorithm,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Optimizing downlink resource al- location in multiuser mimo networks via fractional programming and the hungarian algorithm,

Reference 18

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Observation 6af083ad-e72b-485f-90dc-ea0adb9e9a7c · outbound

This paper cites Learning to optimize: Training deep neural networks for wireless re- source management,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Learning to optimize: Training deep neural networks for wireless re- source management,

Reference 19

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Observation 0feb9097-5d4b-4340-b707-184a52ea50e0 · outbound

This paper cites Deep-learning-based wireless resource allocation with application to vehicular networks,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Deep-learning-based wireless resource allocation with application to vehicular networks,

Reference 20

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Observation 754abb2f-0e1c-4756-8294-d943a015df14 · outbound

This paper cites Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey

Reference 21

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Observation 5c1a1e3d-7a3c-4fc6-9e5b-858dae1dae5b · outbound

This paper cites Lorm: Learning to optimize for resource management in wireless networks with few training sam- ples,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Lorm: Learning to optimize for resource management in wireless networks with few training sam- ples,

Reference 22

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Observation 93c15618-0f9e-425e-8ea3-f9b19eea0bd4 · outbound

This paper cites Spatial deep learning for wireless schedul- ing,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Spatial deep learning for wireless schedul- ing,

Reference 23

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Observation 32560362-bd27-46e0-81e4-89bb13a9942d · outbound

This paper cites Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis,

Reference 24

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Observation e816c5af-87fa-4e57-a2be-94e31f317aa1 · outbound

This paper cites Learning decentralized wireless resource allocations with graph neural networks,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Learning decentralized wireless resource allocations with graph neural networks,

Reference 25

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Observation e75db056-bd41-4ca7-bdff-089018b4ddba · outbound

This paper cites Learning-based massive beamforming,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Learning-based massive beamforming,

Reference 26

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Observation 92ba1009-3d02-4c16-a026-8df1b1914b4a · outbound

This paper cites Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,

Reference 27

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Observation 0bc14774-1621-4dff-89fa-68ef6f85f1ff · outbound

This paper cites Iterative algorithm induced deep-unfolding neural networks: Precoding design for mul- tiuser MIMO systems,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Iterative algorithm induced deep-unfolding neural networks: Precoding design for mul- tiuser MIMO systems,

Reference 28

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Observation 9e1fcc01-9b90-40ea-9f3d-8c0dbd295de0 · outbound

This paper cites Matrix-inverse-free deep unfolding of the weighted mmse beamforming algorithm,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Matrix-inverse-free deep unfolding of the weighted mmse beamforming algorithm,

Reference 29

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Observation 39710eaf-9275-45d3-b004-838b9d8a0014 · outbound

This paper cites Deep graph unfolding for beamforming in MU-MIMO interference networks,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Deep graph unfolding for beamforming in MU-MIMO interference networks,

Reference 30

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Observation 6662fa08-f132-47e9-a683-396f912fc9aa · outbound

This paper cites Deepfp: Deep-unfolded fractional programming for mimo beamforming,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Deepfp: Deep-unfolded fractional programming for mimo beamforming,

Reference 31

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Observation 5ebc9d2a-0858-41e6-b1b2-159d64b31bea · outbound

This paper cites Majorization-minimization algo- rithms in signal processing, communications, and machine learning,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Majorization-minimization algo- rithms in signal processing, communications, and machine learning,

Reference 32

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Observation 116170b6-d1e9-49bb-816d-5cc9ea70a12f · outbound

This paper cites Accelerating quadratic transform and WMMSE,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Accelerating quadratic transform and WMMSE,

Reference 33

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Observation 418d9d86-052a-42df-b2a6-866e844bf4b1 · outbound

This paper cites Alista: Analytic weights are as good as learned weights in lista,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Alista: Analytic weights are as good as learned weights in lista,

Reference 34

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Observation b34632ab-7df2-48f4-985a-539994dec658 · outbound

This paper cites Deep unfolding of a proximal interior point method for image restoration,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Deep unfolding of a proximal interior point method for image restoration,

Reference 35

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Observation 2e2d1329-332a-4b81-b8d2-f60482a87d52 · outbound

This paper cites Learned reconstruction methods with convergence guaran- tees: A survey of concepts and applications,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Learned reconstruction methods with convergence guaran- tees: A survey of concepts and applications,

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no resolver link, observed 2026-08-02T12:29:26.075072Z

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source=pdf_text observed=2026-08-02T12:29:26.075072Z digest=sha256:78388446347317f7d94f961e9665c2baaf5f8d791539859a94c047441cd56ec3

Observation ce19942c-8893-45d8-907f-27abd3179e3c · outbound

This paper cites Policy gradi- ent methods for reinforcement learning with function approximation,.

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks Policy gradi- ent methods for reinforcement learning with function approximation,

Reference 37

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Pith citing papers

Observation f044a20e-c05c-4d1a-aefa-7a9286e87ff8 · inbound

Rethinking Fractional Programming for Joint Uplink Scheduling and Power Control in Multicell Wireless Networks cites this paper.

Rethinking Fractional Programming for Joint Uplink Scheduling and Power Control in Multicell Wireless Networks Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks

Reference 11

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local_arxiv, observed 2026-07-03T08:17:44.896550Z

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source=pdf_text observed=2026-07-03T08:11:43.344245Z digest=sha256:69cf7fccf45c9fb7e816aa8b6c463b4e2650fa71c4193b5b4a42509263ca3c54