Spectrum sharing is promising to alleviate the spectrum scarcity problem of the unmanned aerial vehicle (UAV) networks. Resource allocation is also of crucial importance to improve the spectrum efficiency and network performance. However, the resource allocation problems are typically NPhard when the number of the opti...
Dynamic spectrum access enables unmanned aerial vehicles (UAVs) to opportunistically utilize licensed spectrum. However, conventional architectures decouple spectrum sensing from access decisions, losing soft sensing confidence and introducing cross-layer latency that increase the risk of harmful interference to primar...
Hang Yang, Rui Ding, Si-Xiang Chen et al.· 2026 IEEE/CIC International...· 0 citations
A win-win scheme is investigated for uncrewed aerial vehicle-mounted intelligent reflecting surface (UIRS) enhanced secondary network (SN) data transmission and the primary network (PN) covert communication cooperative cognitive radio networks (UIRS-CCCRNs), where the moving UIRS can flexibly help SN to share the PN’s...
Wei Zhang, Xiaopeng Liang, Qian Deng et al.· IEEE Transactions on Wireles...· 0 citations
Deep learning-based semantic communication has demonstrated superior efficiency in wireless image transmission. However, traditional reactive schemes often suffer from outdated Channel State Information (CSI) in highly dynamic multi-UAV environments, leading to severe latency and utility degradation. To address this ch...
Uncrewed aerial vehicles (UAVs) identified as agents are promising for future communications and networking due to their flexibility and intelligence. However, UAVs are subjected to the severe spectrum scarcity problem. To tackle this challenge, an embodied-enhanced cognitive UAV network is investigated, where an embod...
Yi-He Diao, Rui Ding, Zhi-Jie Zeng et al.· IEEE Transactions on Cogniti...· 0 citations
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