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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| Published in: | Vehicular Communications Vol. 53; p. 100907 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
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Elsevier Inc
01.06.2025
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| ISSN: | 2214-2096 |
| Online Access: | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. |
| ArticleNumber | 100907 |
| Author | Wang, Tong |
| Author_xml | – sequence: 1 givenname: Tong orcidid: 0000-0002-3704-8871 surname: Wang fullname: Wang, Tong email: wangt.netlab@gmail.com organization: School of Information Engineering, Hubei University of Economics, Wuhan 430205, Hubei, China |
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| Keywords | 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) |
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Image Process. doi: 10.1109/TIP.2015.2511584 |
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| SubjectTerms | 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) |
| Title | Joint subcarrier assignment and power allocation for UAV-assisted air-ground integrated full-duplex OFDMA networks |
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