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Xuejian Zhang

4 papers here

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

author position
  • middle author3

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

fields
  • eess.SP4
ORCID 0000-0001-7162-6543
same name
  • Xuejian Zhang — 6 papers, h 8
  • Xuejian Zhang — 1 paper, h 6
  • Xuejian Zhang — 1 paper, h 1

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 citedA Cluster-Based Statistical Channel Model for Integrated Sensing and Communication Channels

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SP2024

Channel Measurements and Modeling for Dynamic Vehicular ISAC Scenarios at 28 GHz

Zhengyu Zhang, Ruisi He, Bo Ai +4

Integrated sensing and communication (ISAC) is a promising technology for 6G, with the goal of providing end-to-end information processing and inherent perception capabilities for…

eess.SP2024

Characterization of Wireless Channel Semantics: A New Paradigm

Zhengyu Zhang, Ruisi He, Mi Yang +4

Recently, deep learning enabled semantic communications have been developed to understand transmission content from semantic level, which realize effective and accurate information…

eess.SP2024

Non-stationarity Characteristics in Dynamic Vehicular ISAC Channels at 28 GHz

Zhengyu Zhang, Ruisi He, Mi Yang +6

Integrated sensing and communications (ISAC) is a potential technology of 6G, aiming to enable end-to-end information processing ability and native perception capability for future…

eess.SP2024★ 1 cited

A Cluster-Based Statistical Channel Model for Integrated Sensing and Communication Channels

Zhengyu Zhang, Ruisi He, Bo Ai +6

The emerging 6G network envisions integrated sensing and communication (ISAC) as a promising solution to meet growing demand for native perception ability. To optimize and evaluate…

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