AI & ML
PRIMO: GPU-Accelerated Joint Beamforming and RIS Placement Optimization for Outdoor-to-Indoor Coverage at FR1(C) and FR3
arXiv eess.SP0 views
arXiv:2610.03887v2 Announce Type: replace Abstract: Upper mid-band spectrum is promising for 5G and 6G cellular networks, yet concrete and low-emissivity glass impose over 20 dB of building penetration loss above 2 GHz, degrading outdoor-to-indoor (O2I) coverage. A reconfigurable intelligent surface (RIS) on a neighboring building bypasses this blockage by focusing energy onto indoor users. This paper introduces PRIMO (Parallel RIS Min-Rate Optimization), a training-free joint optimizer of base-station precoding, RIS phase shifts, and RIS placement, validated by calibrated ray tracing in a MetroTech Commons digital twin (Brooklyn, NY) at 6.75 and 16.95 GHz. At equal physical aperture, half-wavelength spacing packs 6.25 times as many elements per array at FR3 as at FR1(C), so FR1(C) leads at low indoor-user counts while FR3 dominates at higher counts, where the additional spatial degrees of freedom suppress inter-user interference. Above a 1 bps/Hz service floor, PRIMO supports 92% more indoor users at FR3 than at FR1(C), and raises the minimum user rate by up to 90% over a fully converged alternating-optimization baseline while running about 100 times faster.
Source:https://arxiv.org/abs/2610.03887PreviousImpulse Response Estimation via Laguerre-Fourier ExpansionNextWideband Channel Measurements in the Lower FR3 Band (6-12 GHz) for Industrial Environments
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