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researcher

Jun Zhu

5 papers hereh-index 2306 citations8 works total

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

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.IT2
  • eess.SP2
  • cs.DC1
same name
  • Jun Zhu — 29 papers, h 15
  • Jun Zhu — 20 papers, h 11
  • Jun Zhu — 18 papers, h 10
  • Jun Zhu — 11 papers, h 10
  • Jun Zhu — 8 papers, h 4
  • Jun Zhu — 8 papers, h 5

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
20242026
collaborators

5 papers

eess.SP2026

Scalable GNN-Based Power Allocation for Rate-Splitting Cell-Free Massive MIMO Systems

Ruomeng Wang, Yin Xu, Aimin Tang +5

Cell-free massive multiple-input multiple-output (CF-mMIMO) systems provide enhanced coverage and capacity for next-generation wireless networks. However, CF-mMIMO systems face sig…

cs.IT2026

Low-Complexity Hybrid Precoding for Cell-Free Massive MU-MIMO ISAC Systems

Jun Zhu, Yin Xu, Aimin Tang +4

Integrated sensing and communication (ISAC) in cell-free (CF) massive multi-user multiple-input multiple-output (MU-MIMO) system is a promising architecture for high-rate communica…

eess.SP2025

Preconditioned Conjugate Gradient for MIMO-AFDM System

Jun Zhu, Yin Xu, Dazhi He +3

Affine frequency division multiplexing (AFDM) is a promising chirp-assisted multicarrier waveform for future high mobility communications. A significant challenge in MIMO-AFDM syst…

cs.DC2025

Efficient Precoding in XL-MIMO-AFDM System

Jun Zhu, Yin Xu, Dazhi He +5

This paper explores the potential of affine frequency division multiplexing (AFDM) to mitigate the multiuser interference (MUI) problem by employing time-domain precoding in extrem…

cs.IT2024

Decentralized Hybrid Precoding for Massive MU-MIMO ISAC

Jun Zhu, Yin Xu, Dazhi He +3

Integrated sensing and communication (ISAC) is a very promising technology designed to provide both high rate communication capabilities and sensing capabilities. However, in Massi…

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