NIApr 28

Chorusing Synchronization Signals for Ambient 5G Backscatter

arXiv:2604.2564172.3
AI Analysis

This work addresses the need for resource-efficient synchronization in 5G backscatter IoT devices, where power and hardware constraints are critical.

The authors propose SD-based Sync, a synchronization method for 5G backscatter that leverages mirror symmetry in the PSS envelope to achieve high accuracy with low resource usage. Their implementation uses 3,175 D flip-flops, which is 30x to 181x fewer than existing methods.

5G backscatter communication presents an emerging energy-efficient IoT connectivity solution with enhanced availability and data rate advantages over traditional wireless networks. For 5G backscatter, synchronization is crucial as it ensures high-quality transmission. Popular synchronization methods employ autocorrelation and cross-correlation for accurate timing, yet they are constrained by resources. Traditional cross-correlation-based methods for resource utilization optimization also fail in 5G backscatter due to the presence of multiple templates for 5G. A synchronization strategy that supports high accuracy and low power would be highly attractive for wireless backscatter communication. We propose Symmetric Differential (SD)-based Sync, an accurate and resource-efficient synchronization method for 5G backscatter. We have observed that the envelope of the 5G Primary Synchronization Signal (PSS) exhibits a unique mirror symmetry, which enables us to employ differential techniques for low-power PSS detection. We extensively evaluated our design using a testbed of backscatter hardware, SDR gNodeB, and User Equipment (UE). Results show that our SD consumes 3,175 D flip-flops, which is 87x lower than NR fine timing (NFT), 181x lower than symmetry-based semi-template sync (SST), and 30x lower than symmetric autocorrelation (SA)-based sync.

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