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Liuwei Huo

Researcher at Northeastern University (China)

Publications -  24
Citations -  829

Liuwei Huo is an academic researcher from Northeastern University (China). The author has contributed to research in topics: Software-defined networking & Network management. The author has an hindex of 11, co-authored 24 publications receiving 622 citations. Previous affiliations of Liuwei Huo include University of Electronic Science and Technology of China & Northeastern University.

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A Joint Multi-Criteria Utility-Based Network Selection Approach for Vehicle-to-Infrastructure Networking

TL;DR: This paper jointly considers multiple decision factors to facilitate vehicle-to-infrastructure networking, where the energy efficiency of the networks is adopted as an important factor in the network selection process.
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Fine-granularity inference and estimations to network traffic for SDN.

TL;DR: This paper investigates how to estimate and recover the end-to-end network traffic matrix in fine time granularity from the sampled traffic traces, which is a hard inverse problem.
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Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis

TL;DR: These studies demonstrates that big data technologies can indeed be utilized to effectively capture network behaviors and predict network activities so that they can help perform highly effective network managements.
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Stackelberg game-based energy-efficient resource allocation for 5G cellular networks

TL;DR: The soft frequency reuse (SFR) is introduced to reduce the inter-cell interference in multiple cellular networks (such as 5G cellular networks) with the orthogonal frequency division multiplexing in base stations and the energy-efficient resource allocation problem is described as a Stackelberg game model.
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Secure APIT Localization Scheme Against Sybil Attacks in Distributed Wireless Sensor Networks

TL;DR: A novel lightweight sybil-free (SF)-APIT algorithm is presented to solve the problem of sybil attacks in APIT localization scheme, which is a popular range-free method and performs at individual node in a purely distributed fashion.