Closed-loop Uplink Radio Resource Management in CF-O-RAN Empowered 5G Aerial Corridor
Manobendu Sarker, Md. Zoheb Hassan, and Xianbin Wang

TL;DR
This paper presents a novel closed-loop uplink radio resource management framework for 5G aerial corridors using CF-O-RAN, optimizing spectral efficiency and QoS with efficient algorithms and environment-aware CSI inference.
Contribution
It introduces a joint optimization approach for UAV association and power control in CF-O-RAN, with algorithms that are computationally efficient and suitable for real-time deployment.
Findings
Up to 440% improvement in minimum spectral efficiency.
Achieved 100% QoS satisfaction and fairness.
Reduced runtime by up to 99.7% compared to traditional solvers.
Abstract
In this paper, we investigate the uplink (UL) radio resource management for 5G aerial corridors with an open-radio access network (O-RAN)-enabled cell-free (CF) massive multiple-input multiple-output (mMIMO) system. Our objective is to maximize the minimum spectral efficiency (SE) by jointly optimizing unmanned aerial vehicle (UAV)-open radio unit (O-RU) association and UL transmit power under quality-of-service (QoS) constraints. Owing to its NP-hard nature, the formulated problem is decomposed into two tractable sub-problems solved via alternating optimization (AO) using two computationally efficient algorithms. We then propose (i) a QoS-driven and multi-connectivity-enabled association algorithm incorporating UAV-centric and O-RU-centric criteria with targeted refinement for weak UAVs, and (ii) a bisection-guided fixed-point power control algorithm achieving global optimality with…
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Taxonomy
TopicsUAV Applications and Optimization · Advanced MIMO Systems Optimization · Advanced Wireless Communication Technologies
