most citedHashing Beam Training for Near-Field Communications

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

collaborators

5 papers

cs.IT2024

Low-Complexity Beam Training for Multi-RIS-Assisted Multi-User Communications

Yuan Xu, Chongwen Huang, Li Wei +5

In this paper, we investigate the beam training problem in the multi-user millimeter wave (mmWave) communication system, where multiple reconfigurable intelligent surfaces (RISs) a…

cs.IT20241 cited

Hashing Beam Training for Near-Field Communications

Yuan Xu, Li Wei, Chongwen Huang +6

In this paper, we investigate the millimeter-wave (mmWave) near-field beam training problem to find the correct beam direction. In order to address the high complexity and low iden…

cs.IT2024

Stochastic Geometry Analysis for Distributed RISs-Assisted mmWave Communications

Yuan Xu, Li Wei, Chongwen Huang +6

Millimeter wave (mmWave) has attracted considerable attention due to its wide bandwidth and high frequency. However, it is highly susceptible to blockages, resulting in significant…

cs.IT2024

Coverage and Rate Analysis for Distributed RISs-Assisted mmWave Communications

Yuan Xu, Chongwen Huang, Wei Li +7

The millimeter wave (mmWave) has received considerable interest due to its expansive bandwidth and high frequency. However, a noteworthy challenge arises from its vulnerability to…

cs.IT2024

Hashing Beam Training for Integrated Ground-Air-Space Wireless Networks

Yuan Xu, Chongwen Huang, Wei Li +6

In integrated ground-air-space (IGAS) wireless networks, numerous services require sensing knowledge including location, angle, distance information, etc., which usually can be acq…