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Zhiyuan Wang

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#edge computing Nov 2026

BACO: A Backoff-Based Coordinated Task Offloading Scheme for Infrastructure-Free MEC

This paper studies task offloading in infrastructure-free mobile edge computing (MEC), where end devices must autonomously discover candidate servers and make offloading decisions under dynamic connectivity and time-varying computing resources. However, the lack of centralized coordination incurs high overhead to acqui...

Xiang Li, Wen-Bin Xu, Shan Zhang et al. · 0 citations
Conference Aug 2026

PBFC: Cross-Layer Flow Control for Parallel Permissioned Blockchains

Permissioned blockchains deployed in modern cloud and data-center environments increasingly adopt speculative parallel execution to decouple transaction execution from consensus ordering. This design implicitly relies on the sequencer's canonical transaction instance reaching execution replicas before any competing ins...

Tao Tong, Qing-Kai Meng, Zi-Yang Zheng et al. · 0 citations
Conference Aug 2026

Prediction-Driven Task Scheduling in Satellite IoT: A Constrained Reinforcement Learning Approach

The incorporation of Mobile Edge Computing into satellite systems is a highly promising approach to enabling large-scale intelligent Internet of Things services in remote areas. However, the high-speed mobility of satellites and the extreme scarcity of on-board resources pose significant challenges, as traditional reac...

Hao-Yuan Deng, Ning-Ning Cui, Shi Chen et al. · 0 citations
Book Open access Aug 2026

LFRI: Efficient Routing Emulation for LEO Mega-Constellations

LFRI employs a lock-free installation mechanism that enables parallelized and efficient route installation, and reduces the route installation latency by up to 99.9% in emulations of typical LEO satellite constellations, within a performance level comparable to routing installation on physical machines.

Wenhao Lu, Zhiyuan Wang, Shan Zhang et al. · 0 citations
Open access Jul 2026

Resource allocation algorithms for hybrid GEO and LEO satellite networks

A heterogeneous resource allocation strategy for cross-high and low orbit mixed satellite networks is proposed, which takes dynamic communication service demands as input and collaboratively allocates beam bandwidth, frequency, time slot, power and inter-satellite links and other heterogeneous resources.

Zhi-Hao Wang, Hongbin Luo, Zhiyuan Wang et al. · 0 citations

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