Environment-Aware Channel Estimation via Integrating Channel Knowledge Map and Dynamic Sensing Information

The ambitious goals of the sixth-generation (6G) mobile communication networks require efficient acquisition of channel state information (CSI) for large-dimensional wireless channels. To this end, one may exploit the new opportunities of the significantly enhanced sensing capabilities and the parad...

Full description

Saved in:
Bibliographic Details
Published in:IEEE wireless communications letters 2024-12, Vol.13 (12), p.3608-3612
Main Authors: Wu, Di, Qiu, Yuelong, Zeng, Yong, Wen, Fuxi
Format: Article
Language:English
Subjects:
6G mobile communication
Channel estimation
channel knowledge map
Communication
Communication networks
dynamic sensing
Environment-aware communication
Impact analysis
Real time
Real-time systems
Scattering
Sensors
Symbols
Training
Vehicle dynamics
Wireless communication
Wireless networks
Wireless sensor networks
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The ambitious goals of the sixth-generation (6G) mobile communication networks require efficient acquisition of channel state information (CSI) for large-dimensional wireless channels. To this end, one may exploit the new opportunities of the significantly enhanced sensing capabilities and the paradigm shift from environment-unaware communication to environment-aware communication. However, existing environment-aware techniques mainly assume quasi-static environments, which become ineffective for highly dynamic scenarios. To address such issues, in this letter, we decompose the wireless environment into quasi-static and dynamic components and propose an efficient channel estimation method by integrating channel knowledge map (CKM) and dynamic sensing information. Specifically, CKM is a database storing location-specific channel knowledge that provides quasi-static channel information. By integrating CKM with real-time sensed dynamic object locations, an effective low-overhead channel estimation technique is developed. Analysis reveals that CKM not only utilizes user location information but also can effectively incorporate dynamic scatterer locations, exploring the impact of dynamic scatterers on the channel. Simulation results demonstrate that the proposed method significantly improves communication performance by effectively utilizing both CKM and dynamic environment information.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2024.3482357