Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) provides flexible, real-time computing services to Internet of Things (IoT) devices at network edges. However, existing resource allocation schemes primarily rely on the physical parameters of tasks, while neglecting their semantic priorities. This may...
Xue-Wen He, Tian-Shun Wang, Si-Rui Wang et al.· 2026 IEEE/CIC International...· 0 citations
This paper proposes the memory-native NTN (Mem-NTN) paradigm that leverages long-horizon contexts for memory-augmented system optimization and establishes a dual-memory architecture that distinguishes between physical memory representing the state of the world and digital memory encoding historical network experience.
Chengyang Li, Yi-Kun Wang, Jia-Hui He et al.· IEEE Communications Standard...· 0 citations
Dispersed computing has emerged as a promising paradigm that leverages underutilized resources from massive Internet of Things devices (IoTDs) to enhance the computing capacity at the network edge. However, existing works about the dispersed computing overlook the heterogeneous computing environment with parallel and s...
Xumin Huang, Zexiong Wu, Chaoda Peng et al.· IEEE Transactions on Mobile...· 2 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.