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UAV-gNB control system integrates aerial placement with per-user scheduling

Researchers have developed a hierarchical control system for tethered mmWave UAV-gNBs that integrates aerial placement with per-user scheduling. This system utilizes O-RAN disaggregation and a multi-timescale RIC architecture. A Non-Real-Time RIC rApp manages UAV placement and slice budgets, while a Near-Real-Time RIC xApp handles per-user resource allocation using a permutation-equivariant DeepSets Soft Actor-Critic scheduler. This approach significantly improves eMBB SLA satisfaction and URLLC on-time delivery compared to existing methods. AI

IMPACT This research could lead to more efficient and reliable mobile network coverage in challenging environments.

RANK_REASON Academic paper detailing a novel control system for UAV-gNBs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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UAV-gNB control system integrates aerial placement with per-user scheduling

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Academic paper detailing a novel control system for UAV-gNBs. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Alireza Mohammadhosseini, Fatemeh Afghah ·

    Place, Slice and Schedule: Hierarchical O-RAN Control of a Tethered mmWave UAV-gNB

    arXiv:2608.23824v1 Announce Type: cross Abstract: Unmanned aerial vehicle (UAV)-mounted 5G New Radio base stations (gNBs) can augment terrestrial networks with an on-demand, repositionable Frequency Range 2 (FR2) capacity layer. This flexibility, however, couples the physical net…