Doppler Ambiguity Elimination Using 5G Signals in Integrated Sensing and Communication

TL;DR

This paper presents a novel method using 5G signals to eliminate Doppler ambiguity in integrated sensing and communication systems, leveraging existing 5G infrastructure for efficient joint operation.

Contribution

It introduces a new approach that exploits demodulation reference signals in 5G to resolve Doppler ambiguity and formulates a resource allocation scheme for optimal ISAC performance.

Findings

Effective Doppler ambiguity elimination demonstrated through simulations.

Resource allocation achieves Pareto optimality between sensing and communication.

Method leverages existing 5G NR signals, reducing deployment costs.

Abstract

The industrial point of view towards integrated sensing and communication (ISAC), the preference is to leverage existing resources and fifth-generation (5G) infrastructure to minimize deployment costs and complexity. In this context, we explore the utilization of current 5G new radio (NR) signals aligned with 3rd generation partnership project (3GPP) standards. Positioning reference signals (PRS) for sensing and physical downlink shared channel (PDSCH) for communication have been chosen to form an ISAC framework. However, PRS-based sensing suffers from Doppler ambiguity when the Doppler frequency shift is severe. To address this challenge, we introduce a novel method within the ISAC system that leverages the demodulation reference signal (DMRS) present in PDSCH to eliminate Doppler ambiguity. Furthermore, we formulate a resource allocation problem between PRS and PDSCH to achieve a Pareto optimal point between communication and sensing without Doppler ambiguity. Through simulations and analysis, we demonstrate the effectiveness of our proposed method on joint DMRS-PRS exploitation in mitigating Doppler ambiguity and the efficiency of the resource allocation scheme in achieving Pareto optimality for ISAC within a 5G NR framework.