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researcher

Wen Xu

4 papers here

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

author position
  • middle author2
  • last author2

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

fields
  • cs.IT2
  • cs.NI1
  • eess.SP1
ORCID 0000-0003-0142-5230
same name
  • Wen Xu — 10 papers, h 25
  • Wen Xu — 4 papers
  • Wen Xu — 3 papers, h 7
  • Wen Xu — 3 papers, h 4
  • Wen Xu — 2 papers, h 10
  • Wen Xu — 2 papers

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
20162024
most citedMulti-Base Station Cooperative Sensing with AI-Aided Tracking

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

collaborators

4 papers

cs.IT2024

Achieving Gaussian Vector Broadcast Channel Capacity with Scalar Lattices

M. Yusuf Şener, Gerhard Kramer, Shlomo Shamai +2

A coding scheme with scalar lattices is applied to K-receiver, Gaussian, vector broadcast channels with K independent messages, one for each receiver. The method decomposes each re…

cs.IT2024

User-Centric Cell-Free Wireless Networks for 6G: Communication Theoretic Models and Research Challenges

Fabian Göttsch, Giuseppe Caire, Wen Xu +1

This paper presents a comprehensive communication theoretic model for the physical layer of a cell-free user-centric network, formed by user equipments (UEs), radio units (RUs), an…

eess.SP2023★ 1 cited

Multi-Base Station Cooperative Sensing with AI-Aided Tracking

Elia Favarelli, Elisabetta Matricardi, Lorenzo Pucci +3

In this work, we investigate the performance of a joint sensing and communication (JSC) network consisting of multiple base stations (BSs) that cooperate through a fusion center (F…

cs.NI2016

Modeling the Evolution of Line-of-Sight Blockage for V2V Channels

Mate Boban, Xitao Gong, Wen Xu

We investigate the evolution of line of sight (LOS) blockage over both time and space for vehicle-to-vehicle (V2V) channels. Using realistic vehicular mobility and building and fol…

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