Paper Citation Record · LEDGER

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 4 inbound Pith citation observations for arXiv:2501.02787.

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

pith.paper-citation-record.v1
2501.02787 v1

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measured 48 of 48 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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

Source: pith, observed 2026-08-05T12:38:15.569421Z

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 51380710-3a6a-42ed-b6a8-da956f1586b7 · outbound

This paper cites Enabling urban mmwave communications with UAV-carried IRS via deep reinforcement learning,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Enabling urban mmwave communications with UAV-carried IRS via deep reinforcement learning,

Reference 1

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82bb295c-0c20-4f75-91a9-06b7b71be794 · outbound

This paper cites On the road to 6G: Visions, requirements, key technologies, and testbeds,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning On the road to 6G: Visions, requirements, key technologies, and testbeds,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.724487Z

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Observation c75610d7-fd7b-4f4b-b43f-852f27d17399 · outbound

This paper cites Terahertz band communica- tion: An old problem revisited and research directions for the next decade,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Terahertz band communica- tion: An old problem revisited and research directions for the next decade,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.706042Z

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Observation 98c2f986-798b-40e1-bc58-9c8941425df6 · outbound

This paper cites Beamforming technologies for ultra-massive MIMO in terahertz communications,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Beamforming technologies for ultra-massive MIMO in terahertz communications,

Reference 4

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Observation cc23cdca-4940-40da-81cf-996f7f64af47 · outbound

This paper cites UAV swarm-enabled collaborative secure relay communications with time-domain colluding eaves- dropper,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning UAV swarm-enabled collaborative secure relay communications with time-domain colluding eaves- dropper,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.666408Z

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Observation adca8272-a30b-4431-9d86-18b0ec51efc2 · outbound

This paper cites Seamless handover in LEO based non-terrestrial networks: Service continuity and optimization,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Seamless handover in LEO based non-terrestrial networks: Service continuity and optimization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.643677Z

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Observation 77b28c5f-a3ea-405b-bfdc-6ede84133994 · outbound

This paper cites Dynamic networking for continuable transmission optimization in leo satellite networks,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Dynamic networking for continuable transmission optimization in leo satellite networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.613494Z

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Observation 3c401dc7-fb5d-409f-ac29-0f2fdc36ff60 · outbound

This paper cites Intelligent reflecting surface- aided wireless communications: A tutorial,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Intelligent reflecting surface- aided wireless communications: A tutorial,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.587978Z

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Observation 15311dbc-6d5e-438e-8ca1-20181392a2a3 · outbound

This paper cites Exploring sum rate maximization in UAV-based multi-IRS networks: IRS association, UAV altitude, and phase shift design,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Exploring sum rate maximization in UAV-based multi-IRS networks: IRS association, UAV altitude, and phase shift design,

Reference 9

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Observation 1247bb88-f94c-4cb7-af84-3bb04af8d149 · outbound

This paper cites UAV-enabled secure communica- tions via collaborative beamforming with imperfect eavesdropper information,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning UAV-enabled secure communica- tions via collaborative beamforming with imperfect eavesdropper information,

Reference 11

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Observation e2a61d5e-ae5e-4e2f-95ce-dfe9dfced577 · outbound

This paper cites Physics-based channel mod- eling for IRS-assisted mmwave communication systems,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Physics-based channel mod- eling for IRS-assisted mmwave communication systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.482162Z

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Observation 4e03a1ca-286c-4138-a459-aeaa8867980a · outbound

This paper cites Channel estimation for IRS-assisted mmwave massive MIMO systems in mixed-ADC architecture,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Channel estimation for IRS-assisted mmwave massive MIMO systems in mixed-ADC architecture,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.457616Z

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Observation 469b7434-0e5f-4127-8e4b-6a69eccf8105 · outbound

This paper cites Integrated scheduling of sensing, communication, and control for mmwave/THz communications in cellular connected UAV networks,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Integrated scheduling of sensing, communication, and control for mmwave/THz communications in cellular connected UAV networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.438294Z

Source-reported events for the cited work

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Observation 82e5f536-e37f-4e44-bc8a-7cbe633eafcf · outbound

This paper cites A non-stationary multi-UAV cooperative channel model for 6G massive MIMO mmwave com- munications,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning A non-stationary multi-UAV cooperative channel model for 6G massive MIMO mmwave com- munications,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.414638Z

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Observation af694eed-d715-4749-99e9-c58c138c7ea3 · outbound

This paper cites Spectrum and energy efficiency op- timization in IRS-assisted UAV networks,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Spectrum and energy efficiency op- timization in IRS-assisted UAV networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.542369Z

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Observation b5e7ef74-a044-40d1-9c97-c98da1ff96f8 · outbound

This paper cites Aerial intelligent reflecting surface: Joint placement and passive beamforming design with 3D beam flattening,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Aerial intelligent reflecting surface: Joint placement and passive beamforming design with 3D beam flattening,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.392277Z

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Observation bfffb41c-65e3-47bc-9258-55498255f58b · outbound

This paper cites Secure transmission design for aerial IRS assisted wireless networks,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Secure transmission design for aerial IRS assisted wireless networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.366968Z

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Observation 02765eae-4ece-4e43-8730-98e476d78205 · outbound

This paper cites AoI and data rate optimization in aerial IRS-assisted IoT networks,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning AoI and data rate optimization in aerial IRS-assisted IoT networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.342466Z

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Observation d9ee53b3-e8e3-46af-a96c-daecb20e7336 · outbound

This paper cites Sum-rate maximization for IRS- assisted UAV OFDMA communication systems,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Sum-rate maximization for IRS- assisted UAV OFDMA communication systems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.317790Z

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Observation 27e9e6b0-f063-4def-8f53-28cbce63ed4e · outbound

This paper cites IRS-assisted secure UAV trans- mission via joint trajectory and beamforming design,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning IRS-assisted secure UAV trans- mission via joint trajectory and beamforming design,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.291259Z

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Observation da6a50a7-1f3f-4867-8995-858143d861fd · outbound

This paper cites UAV-powered multi-user intelligent reflecting surface backscatter communication,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning UAV-powered multi-user intelligent reflecting surface backscatter communication,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.266902Z

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Observation 82f8f0b2-ab39-40db-9a15-de3f13e575be · outbound

This paper cites Offline-online design for energy- efficient IRS-aided UAV communications,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Offline-online design for energy- efficient IRS-aided UAV communications,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.247342Z

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Observation 9fec42a0-1f43-4fea-b110-a61189a732d2 · outbound

This paper cites IRS-assisted cognitive UAV networks: Joint sensing duration, passive beamforming, and 3-D location optimization,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning IRS-assisted cognitive UAV networks: Joint sensing duration, passive beamforming, and 3-D location optimization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.226982Z

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Observation 1ad9ad80-ca27-4283-a21f-44fd96d7758d · outbound

This paper cites A stackelberg game approach for IRS-aided WPCN multicast systems,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning A stackelberg game approach for IRS-aided WPCN multicast systems,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.208118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 70e25745-6126-4087-b447-32a3b429c417 · outbound

This paper cites Evolutionary multi-objective rein- forcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Evolutionary multi-objective rein- forcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.189872Z

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Observation 45c88c67-2be3-4c3f-86b9-340609ddb475 · outbound

This paper cites Joint trajectory and passive beamforming design for intelligent reflecting surface-aided UAV communications: A deep reinforcement learning approach,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Joint trajectory and passive beamforming design for intelligent reflecting surface-aided UAV communications: A deep reinforcement learning approach,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.167010Z

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Observation 956255aa-ece6-4ef2-9b42-beba5fdf9327 · outbound

This paper cites Reconfigurable intelligent surface assisted multiuser MISO systems exploiting deep reinforcement learning,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Reconfigurable intelligent surface assisted multiuser MISO systems exploiting deep reinforcement learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.147554Z

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Observation d4ed9b32-4f44-4eeb-8bce-b0ad3d6b8d69 · outbound

This paper cites RIS-aided ground-aerial NOMA communications: A distributionally robust DRL approach,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning RIS-aided ground-aerial NOMA communications: A distributionally robust DRL approach,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.122069Z

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Observation 2a8e6e55-3daa-4c83-859f-0a195f96dbc2 · outbound

This paper cites Proximal policy optimization- based transmit beamforming and phase-shift design in an IRS- aided ISAC system for the THz band,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Proximal policy optimization- based transmit beamforming and phase-shift design in an IRS- aided ISAC system for the THz band,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.090521Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1170bca7-3755-4905-bd52-279320191325 · outbound

This paper cites Trajectory and communication design for cache- enabled UAVs in cellular networks: A deep reinforcement learning approach,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Trajectory and communication design for cache- enabled UAVs in cellular networks: A deep reinforcement learning approach,

Reference 31

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Observation d7e681b3-8b85-4424-b9f8-09fae9bf43e7 · outbound

This paper cites Millimeter wave com- munications with reconfigurable intelligent surfaces: Performance analysis and optimization,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Millimeter wave com- munications with reconfigurable intelligent surfaces: Performance analysis and optimization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.041864Z

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Observation 36d136f5-a16c-4a95-a474-2cb4df288304 · outbound

This paper cites Reconfigurable intelligent surface enabled interference nulling and signal power maximiza- tion in mmWave bands,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Reconfigurable intelligent surface enabled interference nulling and signal power maximiza- tion in mmWave bands,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:52.018368Z

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Observation e3e6f01d-05ca-4e5f-9066-9a4726d2fc21 · outbound

This paper cites Double-IRS assisted multi-user MIMO: Cooperative passive beamforming design,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Double-IRS assisted multi-user MIMO: Cooperative passive beamforming design,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.986567Z

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Observation 5ebce379-33b6-4bd6-be44-7de0b3e76534 · outbound

This paper cites Learning to reflect and to beamform for intelligent reflecting surface with implicit channel estimation,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Learning to reflect and to beamform for intelligent reflecting surface with implicit channel estimation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.960473Z

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Observation 7f8e7c77-57be-4939-8eb0-a335b89906b0 · outbound

This paper cites Secure transmission design for aerial IRS assisted wireless net- works,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Secure transmission design for aerial IRS assisted wireless net- works,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.926260Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 927b1174-95df-4250-953b-c2ffc1a03fdd · outbound

This paper cites A quantitative mea- sure of fairness and discrimination,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning A quantitative mea- sure of fairness and discrimination,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.900263Z

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Observation b2b60f59-36b7-4dcd-8d91-84720c01dd1e · outbound

This paper cites Service continuity based data delivery optimization in satellite-terrestrial networks,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Service continuity based data delivery optimization in satellite-terrestrial networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.873190Z

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Observation 99f2ffa4-fab8-4e0c-8ee5-2f892eda7a0e · outbound

This paper cites Multi-objective opti- mization for UAV swarm-assisted IoT with virtual antenna arrays,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Multi-objective opti- mization for UAV swarm-assisted IoT with virtual antenna arrays,

Reference 39

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:09:51.564866Z

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Observation d140ffcb-2a8e-4efa-a017-d7003cd6b2a0 · outbound

This paper cites Hpfl-cn: Communication-efficient hierarchical personalized federated edge learning via complex network feature clustering,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Hpfl-cn: Communication-efficient hierarchical personalized federated edge learning via complex network feature clustering,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.837476Z

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Observation daeb179e-ad85-4874-8cef-5cf123e38dde · outbound

This paper cites Proximal Policy Optimization Algorithms.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 41

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This paper cites Neural episodic control with state abstraction,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Neural episodic control with state abstraction,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.808245Z

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Observation e1f1e92d-dfcb-44ff-940f-f5730c1a4592 · outbound

This paper cites Mogrifier LSTM,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Mogrifier LSTM,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.784785Z

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Observation 20ecbc7f-147b-4e68-911b-a4c35afc2685 · outbound

This paper cites Inte- grated localization and communication for IRS-assisted multi-user mmwave MIMO systems,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Inte- grated localization and communication for IRS-assisted multi-user mmwave MIMO systems,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.757051Z

Source-reported events for the cited work

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Observation 3e056057-fbda-4c93-97fc-5a73a3217521 · outbound

This paper cites Joint beam training and positioning for intelligent reflecting surfaces assisted millimeter wave communi- 15 cations,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Joint beam training and positioning for intelligent reflecting surfaces assisted millimeter wave communi- 15 cations,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.726409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78aec448-4e13-4779-bac6-0b7ea0932297 · outbound

This paper cites IRS-enabled monostatic backscat- ter MIMO communication design for V2I networks,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning IRS-enabled monostatic backscat- ter MIMO communication design for V2I networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.685263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec06df81-9239-4fba-baed-79f7db893019 · outbound

This paper cites Continuous control with deep reinforcement learning,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Continuous control with deep reinforcement learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.636359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 18821a4c-72df-416b-8450-05ff6bf1e580 · outbound

This paper cites Addressing function ap- proximation error in actor-critic methods,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Addressing function ap- proximation error in actor-critic methods,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.613143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 747b5d86-db64-4bf9-a38b-9efd8aa9c981 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,.

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:09:51.590594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation a58aaee9-41c3-4df9-b922-b537c60b951f · inbound

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning cites this paper.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:27.933674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced74150-5387-4143-833f-336551a83efd · inbound

Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding cites this paper.

Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:38:15.575132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7bd5191a-b829-4726-9d03-da2106c546e6 · inbound

Collaborative Charging Optimization for Wireless Rechargeable Sensor Networks via Heterogeneous Mobile Chargers cites this paper.

Collaborative Charging Optimization for Wireless Rechargeable Sensor Networks via Heterogeneous Mobile Chargers Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T22:04:45.258127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41df8000-1b3d-41b7-afb6-365312201d0c · inbound

Toward Intelligent Skies: Signal Processing and AI Foundations of Low-Altitude Wireless Networks cites this paper.

Toward Intelligent Skies: Signal Processing and AI Foundations of Low-Altitude Wireless Networks Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-12T00:18:31.239232Z

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Unavailable: canonical work link unavailable.