Dynamic Channel Knowledge Map: Fundamentals, Construction, and Applications
Information Theory
Summary
The authors discuss how wireless networks are getting more complex with new technologies, making it harder to quickly understand communication channels. They propose a "dynamic channel knowledge map" (dynamic CKM) that updates over time to capture changing factors like moving objects and signal issues, unlike previous maps that assumed static environments. The paper explains how this dynamic CKM connects environmental information to actual signal processing, helps improve tasks like designing signal pilots and reducing interference, and suggests future research directions. Their work aims to improve 6G wireless systems by providing better, time-aware knowledge about communication channels.
Authors
Wenjun Jiang, Xiaojun Yuan
Abstract
Wireless communication networks are evolving toward extremely large antenna arrays, millimeter-wave and terahertz bands, and dense heterogeneous deployments, all of which increase channel dimensionality and make channel acquisition increasingly costly. Channel knowledge map (CKM) establishes a mapping from geographical locations to channel characteristics, providing location-specific prior information to reduce the overhead of channel acquisition. Most existing CKM research, however, has focused on quasi-static propagation features shaped by quasi-static environmental structures such as buildings and terrain, leaving unaddressed the time-varying channel component introduced by dynamic scatterers, terminal attitude changes, and radio-frequency (RF) impairments. This article presents a new concept of dynamic CKM as a middle layer that links quasi-static environmental priors to physical-layer signal processing by providing time-evolving channel representations. We first introduce the fundamentals of dynamic CKM, clarifying its relationship with the quasi-static CKM and the physical layer. We then survey representative construction methods and discuss how dynamic CKM can support pilot design, interference suppression, and integrated sensing and communications. Finally, we outline key open research directions in the co-design of dynamic CKM construction and physical-layer signal processing. These discussions offer an architectural perspective on the role of dynamic CKM in emerging 6G systems.