Hongbin Luo
Beihang University
5 Papers
24 Citations
Hongbin Luo is an academic researcher from Beihang University. The author has contributed to research in topics: Cache & Vehicular ad hoc network. The author has an hindex of 3, co-authored 5 publications. Previous affiliations of Hongbin Luo include University of Waterloo.
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Papers
Towards Fresh and Low-Latency Content Delivery in Vehicular Networks: An Edge Caching Aspect
Shan Zhang,Junjie Li,Hongbin Luo,Jie Gao,Lian Zhao,Xuemin Sherman Shen +5 more
- 01 Oct 2018
TL;DR: The proposed CALUD scheme can reduce the service latency to milliseconds while guaranteeing the required content freshness and is optimized jointly with the radio resource allocation from the network aspect to meet the diversified service latency and AoI requirements of different applications.
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AoI-Delay Tradeoff in Mobile Edge Caching With Freshness-Aware Content Refreshing
TL;DR: The results indicate that the proposed scheme can restrain frequent refreshing as the request arrival rate increases, whereby the average delay can be reduced by around 80% while maintaining the AoI below one second in heavily-loaded scenarios.
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•Posted Content
AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing.
TL;DR: In this paper, a freshness-aware refreshing scheme is proposed to balance the service delay and content freshness measured by Age of Information (AoI), where the cached content items will be refreshed to the up-to-date version upon user requests if the AoI exceeds a certain threshold.
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Hierarchical Soft Slicing to Meet Multi-Dimensional QoS Demand in Cache-Enabled Vehicular Networks
TL;DR: In this paper, a service-oriented hierarchical soft slicing framework is proposed for the cache-enabled vehicular networks, where each slice supports one service and the resources are logically isolated but opportunistically reused to exploit the multiplexing gain.
36
•Posted Content
Hierarchical Soft Slicing to Meet Multi-Dimensional QoS Demand in Cache-Enabled Vehicular Networks
TL;DR: A service-oriented hierarchical soft slicing framework is proposed for the cache-enabled vehicular networks, where each slice supports one service and the resources are logically isolated but opportunistically reused to exploit the multiplexing gain.
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