IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) 2020
DOI: 10.1109/infocomwkshps50562.2020.9162928
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User Association in Hybrid UAV-cellular Networks for Massive Real-time IoT Applications

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Cited by 6 publications
(4 citation statements)
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References 17 publications
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“…Network Services eMBB-baased A2G network design and performance evaluation [170]- [173] Feasibility of MBB for A2G connectivity of helicopters/eVTOLs [174] Evaluation of (e)MBB for CNPC via UAV field measurements [5], [171], [175]- [178] A2G channel measurements and modeling for UAV CNPC [179]- [181] Evaluation of MBB for UAV-based video streaming [182], [183] Suitability of MBB for UTM-UAV connectivity [184], [185] uRLLC Multi-operator connectivity to improve communication reliability [186], [187] Coordinated Multipoint (CoMP) to improve aerial coverage [188], [189] Technology Network Softwarization SDN-based networking framework to support UAVs [190], [191] Performance evaluation of network slicing for UAVs [185] mmWave Beamforming and beamtracking to improve UAV A2G channel quality [192], [193] MEC MEC for end-to-end latency optimization [194], [195] MEC for the optimization of energy consumption of UAVs [195], [196] Issues and Challenges…”
Section: Cellular Domain Subject Referencesmentioning
confidence: 99%
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“…Network Services eMBB-baased A2G network design and performance evaluation [170]- [173] Feasibility of MBB for A2G connectivity of helicopters/eVTOLs [174] Evaluation of (e)MBB for CNPC via UAV field measurements [5], [171], [175]- [178] A2G channel measurements and modeling for UAV CNPC [179]- [181] Evaluation of MBB for UAV-based video streaming [182], [183] Suitability of MBB for UTM-UAV connectivity [184], [185] uRLLC Multi-operator connectivity to improve communication reliability [186], [187] Coordinated Multipoint (CoMP) to improve aerial coverage [188], [189] Technology Network Softwarization SDN-based networking framework to support UAVs [190], [191] Performance evaluation of network slicing for UAVs [185] mmWave Beamforming and beamtracking to improve UAV A2G channel quality [192], [193] MEC MEC for end-to-end latency optimization [194], [195] MEC for the optimization of energy consumption of UAVs [195], [196] Issues and Challenges…”
Section: Cellular Domain Subject Referencesmentioning
confidence: 99%
“…In [196], the authors aim at minimizing the energy consumption of UAVs by partly offloading their tasks to a MEC-enabled ground BSs. Other studies rather utilize UAVs to support the ground networks, such as MEC-enabled UAVs to meet the latency demands of ground UEs [194], [195], or UAVs as cache servers [258].…”
Section: Coveragementioning
confidence: 99%
“…These services impose a wider range of performance and cost requirements onto the legacy networks [1]. The three main categories of services, i.e, Enhanced Mobile Broadband Connectivity (eMBB), Massive Machine Type Communications (mMTC) and Ultra-Reliable Low Latency Communication (URLLC), prioritize high-speed and capacity, high density support and reliability, and low latency for service provisioning, respectively [2].…”
Section: Introductionmentioning
confidence: 99%
“…However, a proper planning and deployment approach is essential to fully meet the goals of the above architectures. Moreover, to realize the requirements of some of the services, it is envisioned that the components (RU, DU and CU) are to be placed in multi-access edge computing [2] clouds/servers distributed closer to the end user. To realize the ORAN architecture's future vision, an adequate design and deployment and management plan is essential.…”
Section: Introductionmentioning
confidence: 99%