U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach
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 support 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 training data. To jointly address data scarcity and generalization limitations, this paper advances XL-MIMO radiomap prediction from three aspe...
| Authors | Xiaojie Li, Yu Han, Zhizheng Lu et al. |
|---|---|
| Primary category | eess.SP |
| Published | 6 March 2026 |
| Last updated at source | 6 March 2026 |
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