Joint subcarrier assignment and power allocation for UAV-assisted air-ground integrated full-duplex OFDMA networks

The self-interference caused by simultaneous uplink and downlink transmissions, along with inter-cell co-channel interference, significantly challenges the benefits of full-duplex transmission in future multi-UAV assisted Air-Ground Integrated OFDMA Networks. Effective resource allocation is crucial...

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Bibliographic Details
Published in:Vehicular Communications Vol. 53; p. 100907
Main Author: Wang, Tong
Format: Journal Article
Language:English
Published: Elsevier Inc 01.06.2025
Subjects:
Block coordinate descent (BCD)
In-band full-duplex (IBFD)
Mixed integer nonlinear problem (MINLP)
mmWave communications
Orthogonal frequency-division multiple access (OFDMA)
Power control
Subcarrier scheduling
Successive convex approximation (SCA)
Mixed integer nonlinear problem (MINLP)
Power control
mmWave communications
Block coordinate descent (BCD)
Orthogonal frequency-division multiple access (OFDMA)
Successive convex approximation (SCA)
Subcarrier scheduling
In-band full-duplex (IBFD)
ISSN:2214-2096
Online Access:Get full text
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Summary:The self-interference caused by simultaneous uplink and downlink transmissions, along with inter-cell co-channel interference, significantly challenges the benefits of full-duplex transmission in future multi-UAV assisted Air-Ground Integrated OFDMA Networks. Effective resource allocation is crucial for achieving high system performance in these complex full-duplex environments. This paper investigates the joint optimization of subcarrier scheduling and power assignment, a task complicated by nonconvex Quality of Service (QoS) constraints, the nonconvex nature of the objective function, and the combinatorial intricacies of subcarrier scheduling. To overcome these difficulties, we first propose a Time-Sharing Greedy Rounding algorithm (TS-GR) based on the alternating optimization (AO) method. To further enhance the solution quality, we also propose an lp-norm regularization-based algorithm (LP-NR). Extensive simulation results and theoretical analyses confirm the convergence and efficiency of our proposed methods in UAV-assisted full-duplex OFDMA networks. The simulations highlight that while TS-GR can achieve higher rates under relaxed QoS requirements, LP-NR offers robust performance by consistently satisfying both uplink and downlink QoS requirements. Our findings demonstrate that the gains of multi-cell full-duplex wireless networks over their half-duplex counterparts are significant under optimal conditions but can be constrained by high self-interference and noise levels.
ISSN:2214-2096
DOI:10.1016/j.vehcom.2025.100907