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Zhaocheng Wang

54 papers hereh-index 7217 citations46 works total

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

author position
  • first author1
  • middle author18
  • last author34

Across the 53 of 54 papers where every author was matched, so the position is known.

fields
  • cs.IT35
  • eess.SP19
same name
  • Zhaocheng Wang — 14 papers, h 60
  • Zhaocheng Wang — 8 papers, h 7
  • Zhaocheng Wang — 6 papers, h 1
  • Zhaocheng Wang — 4 papers, h 10
  • Zhaocheng Wang — 2 papers, h 1
  • Zhaocheng Wang — 1 paper, h 14

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
20142026
most citedSpatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

528 citations · 3.2k across the 54 of their papers we have counts for

collaborators
Showing 2014Show all

3 papers · 1 filter

cs.IT2014★ 4 cited

Near-Optimal Linear Precoding with Low Complexity for Massive MIMO

Linglong Dai, Xinyu Gao, Shuangfeng Han +2

Linear precoding techniques can achieve near- optimal capacity due to the special channel property in down- link massive MIMO systems, but involve high complexity since complicated…

cs.IT2014

Low-Complexity Soft-Output Signal Detection Based on Gauss-Seidel Method for Uplink Multi-User Large-Scale MIMO Systems

Linglong Dai, Xinyu Gao, Xin Su +3

For uplink large-scale MIMO systems, minimum mean square error (MMSE) algorithm is near-optimal but involves matrix inversion with high complexity. In this paper, we propose to exp…

cs.IT2014★ 2 cited

Spatially correlated channel estimation based on block iterative support detection for large-scale MIMO

Wenqian Shen, Linglong Dai, Zhen Gao +1

Downlink channel estimation with low pilot overhead is an important and challenging problem in large-scale MIMO systems due to the substantially increased MIMO channel dimension. I…

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