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Peng Yang

4 papers hereh-index 344.5k citations126 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.NI4
same name
  • Peng Yang — 3 papers, h 18
  • Peng Yang — 1 paper, h 14
  • Peng Yang — 1 paper
  • Peng Yang — 1 paper, h 12
  • Peng Yang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSelf-Sustaining Caching Stations: Towards Cost-Effective 5G-Enabled Vehicular Networks

71 citations · 82 across the 4 of their papers we have counts for

collaborators

4 papers

cs.NI2017★ 8 cited

Cooperative Edge Caching in User-Centric Clustered Mobile Networks

Shan Zhang, Peter He, Katsuya Suto +4

With files proactively stored at base stations (BSs), mobile edge caching enables direct content delivery without remote file fetching, which can reduce the end-to-end delay while…

cs.NI2017★ 2 cited

Dynamic Mobile Edge Caching with Location Differentiation

Peng Yang, Ning Zhang, Shan Zhang +3

Mobile edge caching enables content delivery directly within the radio access network, which effectively alleviates the backhaul burden and reduces round-trip latency. To fully exp…

cs.NI2017★ 1 cited

Cost-Effective Cache Deployment in Mobile Heterogeneous Networks

Shan Zhang, Ning Zhang, Peng Yang +1

This paper investigates one of the fundamental issues in cache-enabled heterogeneous networks (HetNets): how many cache instances should be deployed at different base stations, in…

cs.NI2017★ 71 cited

Self-Sustaining Caching Stations: Towards Cost-Effective 5G-Enabled Vehicular Networks

Shan Zhang, Ning Zhang, Xiaojie Fang +3

In this article, we investigate the cost-effective 5G-enabled vehicular networks to support emerging vehicular applications, such as autonomous driving, in-car infotainment and loc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.