Intelligent edge networks increasingly use blockchain to support trustworthy collaboration among distributed autonomous edge agents. However, dynamic and heterogeneous edge environments expose intelligent edge agents to spam transaction attacks, where adversaries exploit repeated per-hop verification to exhaust limited...
Xi-Jia Lu, Xing-Wei Wang, Qiang He et al.· IEEE Transactions on Network...· 0 citations
Mobile edge computing effectively reduces delay and improves the system efficiency by offloading computing tasks. However, the standard communication channel, Orthogonal Frequency Division Multiple Access (OFDMA), is difficult to support large-scale connections in dense networks. Meanwhile, existing task offloading met...
Yang Xia, Min-Cong Chen, Qiang He et al.· IEEE Transactions on Mobile...· 0 citations
To address the high mobility impacts and the ultra-reliable and low-latency communications (URLLC) requirements in autonomous driving scenarios, rate-splitting multiple access (RSMA) combined with short-packet communication (SPC) emerges as a promising solution. Autonomous vehicles rely on real-time information exchang...
Zi-Ru Zheng, Yingyang Chen, Xinyue Pei et al.· IEEE Transactions on Wireles...· 0 citations
As mobile applications become increasingly computation-intensive, mobile devices (MDs) face growing limitations due to their constrained computational capabilities and battery life. Collaborative Edge Computing (CEC) has emerged as a promising solution to address these challenges by enabling multiple edge service provi...
Dongkuo Wu, Xing-Wei Wang, Xue-Yi Wang et al.· IEEE Transactions on Mobile...· 0 citations
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