Latency Minimization for Hybrid-Frequency UHD Upload in Double-IRS-Aided HSR Networks
Tianyou Li, Tonghua Wei, Dapeng Li

TL;DR
This paper introduces a double-IRS-assisted hybrid-frequency communication scheme for high-speed railway networks, significantly reducing UHD upload latency and ensuring interference isolation for real-time fault diagnosis.
Contribution
It proposes a novel 6G I2V architecture with double IRSs, formulating a latency minimization problem and developing algorithms to optimize energy beamforming and data transmission.
Findings
Significant latency reduction meeting URLLC thresholds.
Effective interference isolation within train carriages.
Robust algorithms mitigating Doppler effects due to train mobility.
Abstract
Real-time mechanical fault diagnosis in high-speed railway (HSR) networks requires ultra-reliable and low-latency upload of ultra-high-definition (UHD) video streams. However, energy constraints of trackside cameras and severe transmission latency pose critical challenges. This paper proposes a novel 6G infrastructure-to-vehicle (I2V) architecture employing double intelligent reflecting surfaces (IRSs) to enhance wireless powered communication network (WPCN) and hybrid-frequency data transmission. Crucially, to guarantee the quality of experience (QoE) for in-cabin passengers using Mobile Multimedia Broadcasting Services (MBMS), a strict zero-forcing spatial interference isolation constraint is imposed via the window-mounted IRS. We formulate a weighted latency minimization problem and develop a block coordinate descent (BCD) algorithm. Downlink energy beamforming and uplink information…
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