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Author

Jia-Wei Wang

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#edge computing Oct 2026

Two-Stage Game-Theoretic Resource Allocation for Satellite-Assisted Low-Altitude Networks

Low-altitude aerial wireless networks (LAWNs) enabled by uncrewed aerial vehicles (UAVs) can provide proximity access and edge computing for delay-sensitive Internet of Things (IoT) services, but they face fast channel variation, mobility-induced service degradation, and limited terrestrial support. This article studie...

Yi Jing, Chun-Xiao Jiang, Jia-Wei Wang et al. · 0 citations
2026

Movable-Signals and Movable Antennas for Multiuser Covert Communications

This paper studies a cognitive-radio downlink for multiuser covert communications, where a secondary transmitter must serve multiple legitimate users while remaining difficult to detect by a passive warden and operating only within spectrum holes identified by CR sensing. We propose a dual-domain reconfiguration framew...

Huan-Xi Cui, Meng Xiao, Jia-Wei Wang et al. · 0 citations
2026

Movable-Signal Multiple Access (MSMA) for Pinching-Antenna-Assisted ISAC

Pinching-antenna systems (PASS) can reshape an integrated sensing and communication (ISAC) channel through radiating-point placement, but one carrier state generally cannot simultaneously condition a multiuser channel and coherently combine a target echo. This letter studies movable-signal multiple access (MSMA) for th...

Huanxi Cui, Meng Xiao, Jia-Wei Wang et al. · 0 citations
2026

Soft-Partition Environment Division Multiple Access via Movable-Signals and Pinching Antennas

Environment division multiple access (EDMA) provides a propagation-centric multiple-access framework for pinching-antenna systems (PASS) by using segmented waveguides and line-of-sight (LoS) blockage to partition the service area and reduce inter-region interference. Recent PASS–movable-signal (MS) studies further sugg...

Huanxi Cui, Meng Xiao, Jia-Wei Wang et al. · 0 citations
#edge computing Open access Sep 2026

Ultra-low-power probabilistic graphical computing based on memristors enabling communications signal processing

A probabilistic graphical computing paradigm based on memristors is reported, which not only unifies the framework of Bayesian inference-based baseband signal processing algorithms, but also achieves a substantial improvement in energy efficiency via memristor-based in-memory computing.

Chun-Xiao Jiang, Jia-Wei Wang, Zhou-Jie Pan et al. · 0 citations

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