Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T18:00:35.511367Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.24330.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T18:00:35.511367Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
40 of 40 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6dea29c1-5e1c-4d78-b598-4bc04ee93ff3 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Novel listen-before-talk access scheme with adaptive backoff procedure for uplink centric broadband communication,
Reference 1
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Observation e9a8cb7b-13bc-40b1-84ef-6e5061b3ceb2 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Enhancing 5G QoS management for XR traffic through XR loopback mechanism,
Reference 2
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Observation 279a3dd3-27e6-439e-900b-e34e8e61673b · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach 5G NR mmWave indoor coverage with massive antenna system,
Reference 3
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Observation 9193e601-ea4e-4256-9f36-1fddcb643261 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Tensor- structured Bayesian channel prediction for upper mid-band XL-MIMO systems,
Reference 4
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Observation 50a08cdd-b343-4472-ab0a-2d9546fa3d37 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Toward unified AI models for MU-MIMO communications: A tensor equivariance framework,
Reference 5
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Observation a580b416-3ee9-4388-922a-b908ca02ced0 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach A survey on hybrid beamforming techniques in 5G: Architecture and system model perspectives,
Reference 6
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Observation b0b0a495-639e-4674-81b7-d9a95c08dd8e · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Massive MIMO channel estimation for millimeter wave systems via matrix completion,
Reference 7
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Observation fca75fb5-6e4b-467a-bcb4-88f9e6434dbe · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Chunk-based resource allocation in OFDMA systems - part I: chunk allocation,
Reference 8
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Observation 5a3ed247-86c4-43e4-a326-5e371b4537ad · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Chunk-based resource allocation in OFDMA systems—part II: Joint chunk, power and bit allocation,
Reference 9
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Observation 08a92f35-42a2-4930-9f75-912c1b0343e2 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Sub-6 GHz to mmWave for 5G-advanced and beyond: Channel measurements, characteristics and impact on system performance,
Reference 10
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Observation 9dd5424c-d801-4e0e-adad-2c926425bbc0 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Deep learning based antenna-time domain channel extrapolation for hybrid mmWave massive MIMO,
Reference 12
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Observation 5f1541c6-77a9-4dc4-9a63-6074cdf2332b · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Deep learning based antenna selection for channel extrapolation in FDD massive MIMO,
Reference 13
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Observation d0fce056-e848-4215-bda8-a0fbab62fd79 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Deep learning- based antenna selection and CSI extrapolation in massive MIMO sys- tems,
Reference 14
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Observation 33bb38ac-3bae-418c-af36-1538a9ee1200 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Deep learning-based channel extrapolation for 5G advanced massive MIMO: Hardware prototype and experimental evaluation,
Reference 15
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Observation 7b9445c0-124a-45b9-9bb7-a02fc6857076 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Channel extrapolation for MIMO systems with the assistance of multi-path information induced from channel state information,
Reference 16
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Observation 45055786-5489-47b3-afd8-a33ead0faf68 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Deep learning-based joint uplink-downlink CSI acqui- sition for next-generation upper mid-band systems,
Reference 17
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Observation 50460a52-b3bb-4427-b830-e87ea79641cd · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach On the training of MIMO-OFDM channels with least square channel estimation and linear interpolation,
Reference 18
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Observation da6744eb-cd55-489d-a1f6-a3073e005f1d · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach OFDM channel estimation by singular value decomposition,
Reference 19
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Observation 66439654-6ffd-47ce-9358-a7da80f4db6c · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Pay less but get more: A dual-attention-based channel estimation network for massive MIMO sys- tems with low-density pilots,
Reference 20
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Observation 6bb7ef45-b626-429b-82a2-50d0b988f29a · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach WLC43-5: low-complexity adaptive high- resolution channel prediction for OFDM systems,
Reference 21
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Observation 446c651e-bc48-4665-a383-9d36f6824284 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Channel prediction in high-mobility massive MIMO: From spatio-temporal autoregression to deep learning,
Reference 22
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Observation 58b12b2d-2108-40be-99e2-e2dd70a9e80e · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Machine learning-based channel prediction in massive MIMO with channel aging,
Reference 23
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Observation 99188d7a-cd27-4649-8d18-a3bc9a9d80d6 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Prediction of time-varying multi-user MIMO channels based on DOA estimation using compressed sensing,
Reference 24
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Observation 401ef99f-0992-4930-a51a-2f5dc3c6f972 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach LSTM-GRU model-based chan- nel prediction for one-bit massive MIMO system,
Reference 25
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Observation 6a3f1bb2-112d-46a7-8a20-2ee5ff5e0cdd · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Accurate channel prediction based on transformer: Making mobility negligible,
Reference 26
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Observation 1be7f37f-69a4-4898-b904-33633e3d52fb · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach A two-stage 2D channel extrapolation scheme for TDD 5G NR systems,
Reference 27
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Observation 670a126b-7170-41b0-a31d-8a89c435112b · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Multi-domain channel extrapolation for FDD massive MIMO systems,
Reference 28
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Observation c3a8dcc2-6ea5-424e-b20a-e31678d48c1e · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Low-overhead channel estimation via 3D extrapolation for TDD mmWave massive MIMO systems under high-mobility scenarios,
Reference 29
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Observation 0ce9e6ae-f20c-4c60-aff6-8e1163be21da · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Enabling 6G through multi-domain channel extrapolation: Opportunities and challenges of generative artificial intelligence,
Reference 30
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Observation 96a4e18a-fa51-4024-985b-6c4ca74747e4 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Joint beam alignment and Doppler estimation for fast time-varying wideband mmWave channels,
Reference 31
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Observation c7503658-b588-46a7-9bf9-b174b61ae324 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach 6G new mid-band/FR3 (6–24 GHz): Channel measurement, characteristics and modeling,
Reference 32
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Observation 3b1e62ec-09f3-4ee8-89d7-b9abc146f9b2 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Measurement-Based Analysis of Outdoor Massive MIMO Channel Characteristics over FR3 Frequency Band
Reference 33
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Observation 8db1c47f-4901-40c2-ac1a-cdf64bb5346a · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach A tensor-structured approach to dynamic channel prediction for massive MIMO systems with temporal non-stationarity,
Reference 34
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Observation 9d11e098-cd2c-434f-aeec-198e4a9655c2 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach A tutorial on environment-aware communications via channel knowledge map for 6G,
Reference 35
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Observation 1bb53af1-912b-4325-965e-c9eb50fa61f5 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Environment-aware hybrid beamforming by leveraging channel knowledge map,
Reference 36
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Observation 4d0f8b47-55c4-4230-a635-0c5311946bf8 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Statistical CSI-based distributed precoding design for OFDM-cooperative multi-satellite systems,
Reference 37
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Observation c49f6376-08ba-4879-8b5b-995ab57ca506 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Attention is all you need,
Reference 38
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Observation afff5c94-7e89-47b9-90d1-38a4c0364978 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach QuaDRiGa: A 3- D multi-cell channel model with time evolution for enabling virtual field trials,
Reference 39
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Observation fc16a6ae-e0e3-4af0-ad27-7f0a4ca579d4 · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Signal recovery from random mea- surements via orthogonal matching pursuit,
Reference 40
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Observation b9ff8c64-b16b-4cc4-8d89-57ea1b45d97f · outbound
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach Estimating channels with hundreds of sub-paths for MU-MIMO uplink: A structured high-rank tensor approach,
Reference 41
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No inbound Pith citation observations are available.