MmWave Communication With Active Ambient Perception

TL;DR

This paper proposes a novel mmWave communication approach that leverages ambient perception via radar to reconstruct channels based on location, reducing overhead and enabling efficient single-beam communication.

Contribution

It introduces a new paradigm combining radar-based ambient perception with channel reconstruction for mmWave systems, improving efficiency and reducing signaling overhead.

Findings

Effective ambient perception enables rapid channel reconstruction.

Single-beam communication achieves excellent performance.

Reduces signaling overhead and computational complexity.

Abstract

In existing communication systems, the channel state information of each UE (user equipment) should be repeatedly estimated when it moves to a new position or another UE takes its place. The underlying ambient information, including the specific layout of potential reflectors, which provides more detailed information about all UEs' channel structures, has not been fully explored and exploited. In this paper, we rethink the mmWave channel estimation problem in a new and indirect way, i.e., instead of estimating the resultant composite channel response at each time and for any specific location, we first conduct the ambient perception exploiting the fascinating radar capability of a mmWave antenna array and then accomplish the location-based sparse channel reconstruction. In this way, the sparse channel for a quasi-static UE arriving at a specific location can be rapidly synthesized based on the perceived ambient information, thus greatly reducing the signalling overhead and online computational complexity. Based on the reconstructed mmWave channel, single-beam mmWave communication is designed and evaluated which shows excellent performance. Such an approach in fact integrates radar with communication, which may possibly open a new paradigm for future communication system design.