AI RESEARCH
U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach
arXiv CS.LG
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ArXi:2603.06401v1 Announce Type: cross The upper 6 GHz (U6G) band with XL-MIMO is a key enabler for sixth-generation wireless systems, yet intelligent radiomap prediction for such systems remains challenging. Existing datasets only small-scale arrays (up to 8x8) with predominantly isotropic antennas, far from the 1024-element directional arrays envisioned for 6G. Moreover, current methods encode array configurations as scalar parameters, forcing neural networks to extrapolate array-specific radiation patterns, which fails when predicting radiomaps for configurations absent from