With the advent of the 6G era, Low Earth Orbit (LEO) satellite networks deliver low latency, high throughput in space edge computing services, yet they face severe energy constraints and battery aging. This challenge worsens when periodic solar power harvesting fails to match fluctuating task demand, driving deep disch...
Long Chen, Hao-Yuan Zhao, Yi-Ching Chou et al.· IEEE Transactions on Mobile...· 0 citations
With the swift evolution of intelligent transportation systems, Vehicular Edge Computing (VEC) has developed rapidly. In VEC environments, the lack of dynamic awareness of spatiotemporal-varying heterogeneous resources results in high task offloading latency in high mobility scenarios. Therefore, this paper proposes an...
Bu-Qing Cao, Zhi Tao, Shan Liu et al.· IEEE Transactions on Mobile...· 0 citations
Considering the limitations of a single uncrewed aerial vehicle (UAV) in capacity and coverage, cooperative UAVs assisted mobile edge computing (MEC) architecture has been popular for large-scale mobile terminals (MTs). However, the high mobility of MTs and the limited resources of UAVs lead to challenges such as imbal...
Wen-Xue Sun, Hai-Tao Zhao, Miao Liu et al.· IEEE Transactions on Mobile...· 0 citations
Unstable transmission conditions degrade the offloading performance of Mobile Edge Computing (MEC) servers in vehicular communication environments. Cache-enabled uncrewed aerial vehicles (UAVs) with computation and caching capabilities offer a potential solution by acting as mobile edge servers in the air. Due to super...
Integrated sensing, communication, and computation (ISCC) systems in space-air-ground integrated networks (SAGINs) offer a promising foundation for next-generation intelligent infrastructure. However, their highly dynamic links, heterogeneous computing resources, and stringent real-time requirements pose critical chall...
Bo Yin, Dong-Bo Li, Hong-Kai Chen et al.· IEEE Transactions on Mobile...· 0 citations
The execution of DAG-based applications in Mobile Edge Computing (MEC) systems faces significant challenges due to dynamic resource availability, heterogeneous container image layers, and their tight coupling with task scheduling decisions. Existing DAG- or priority-based schedulers typically rely on fixed dependencies...
Jing-Jie Zhang, Tony Q. S. Quek, Ming-Xiong Zhao· IEEE Transactions on Mobile...· 0 citations
Multi-UAV networks are promising for supporting time-sensitive IoT applications, yet most existing studies focus on a single service type and fail to address the coexistence of heterogeneous tasks with fundamentally different timeliness and resource characteristics. In hybrid MEC–DC systems, data collection (DC) and mo...
Kang Fu, Qing-Jie Zhao· IEEE Transactions on Mobile...· 0 citations
The rapid proliferation of data-intensive and delay-sensitive applications has accelerated the evolution from centralized cloud computing to mobile edge-cloud systems. However, the decentralized and heterogeneous characteristics introduce instability and complexity, making efficient scheduling increasingly challenging....
Yun-Feng Zhao, Chao Qiu, Xiao-Fei Wang et al.· IEEE Transactions on Mobile...· 0 citations
Video analytics services utilizing multiple deep neural network models (DNNs) are increasingly being adopted in various edge intelligence applications. To avoid the accuracy reduction caused by data drift, existing works leverage continual learning that directly retrains DNN models in multi-model applications. Accordin...
Tian-En Liu, Bo-Rui Li, Wei-Long Wang et al.· IEEE Transactions on Mobile...· 1 citation
In edge intelligence networks, AI model inference and training tasks coexist and complement each other. Inference tasks demand low latency and diversity to support real-time services, whereas training tasks are computationally intensive and rely on distributed user devices (UDs) data for continuous model enhancement.Ho...
Xiongfei Chun, Wen-Hao Fan, Ruimin Zhang et al.· IEEE Transactions on Mobile...· 0 citations
As one of the most representative applications of edge computing, video analytics typically involves multiple vision components in the pipeline, which together determine the quality of service (QoS) for users. By exploiting diverse resource demands of different components, a fine-grained hierarchical orchestration with...
Kongyange Zhao, Tao Ouyang, Zhi-Xuan Liao et al.· IEEE Transactions on Mobile...· 0 citations
With the development of social media, mobile computing, and edge intelligence, the communication topology frequently changes over time, making it difficult to maintain connectivity. Traditional average consensus relies on continuous state exchange, which can easily lead to state-evolution trajectory leakage. Most exist...
Guang-Qiang Xie, Si-Cheng Zhao, Rui-Kai Chen et al.· IEEE Transactions on Mobile...· 0 citations
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
