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Yan Wang

8 papers hereh-index 548 citations19 works total

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

author position
  • first author2
  • middle author4
  • last author1

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • eess.SP4
  • cs.IT2
  • cs.CR1
  • cs.PF1
same name
  • Yan Wang — 24 papers, h 8
  • Yan Wang — 24 papers, h 25
  • Yan Wang — 23 papers, h 9
  • Yan Wang — 22 papers, h 3
  • Yan Wang — 21 papers, h 16
  • Yan Wang — 20 papers, h 12

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

activity
20232025
most citedPrecoding and Beamforming Design for Intelligent Reconfigurable Surface-Aided Hybrid Secure Spatial Modulation

1 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2024 · eess.SPShow all

3 papers · 2 filters

eess.SP2024★ 1 cited

Enhanced channel estimation for near-field IRS-aided multi-user MIMO system via a large deep residual network

Yan Wang, Yongqiang Li, Minghao Chen +3

In this paper, the channel estimation (CE) of intelligent reflecting surface-aided near-field (NF) multi-user communication is investigated. Initially, the least square (LS) estima…

eess.SP2024

Joint Power Allocation and Beamforming Design for Active IRS-Aided Directional Modulation Secure Systems

Yifan Zhao, Xiaoyu Wang, Kaibo Zhou +5

Since the secrecy rate (SR) performance improvement obtained by secure directional modulation (DM) network is limited, an active intelligent reflective surface (IRS)-assisted DM ne…

eess.SP2024

Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS

Ke Yang, Rongen Dong, Wei Gao +5

Active intelligent reflecting surface (IRS) is a revolutionary technique for the future 6G networks. The conventional far-field single-IRS-aided directional modulation(DM) networks…

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