{"ID":2849834,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.23832","arxiv_id":"2510.23832","title":"Communication in a Fractional World: MIMO MC-OTFS Precoder Prediction","abstract":"As 6G technologies advance, international bodies and regulatory agencies are intensifying efforts to extend seamless connectivity especially for high-mobility scenarios such as Mobile Ad-Hoc Networks (\\textit{MANETs}) types such as Vehicular Ad-Hoc Networks (\\textit{VANETs}) and Flying Ad-Hoc Networks (\\textit{FANETs}). For these environments to be considered for long term adoption and use they must support Multiple-Input-Multiple- (MIMO) technology, rapidly fluctuating channel conditions in these environments place a heavy burden on traditional time-frequency CSI feedback schemes required for MIMO precoding. This motivates a shift toward delay-Doppler representations like those employed by Orthogonal Time-Frequency Space(OTFS) modulation, which offers greater stability under mobility. We derive an expression for the variation over time in the OTFS I/O relationship. We then use this to create a physics informed complex exponential basis expansion model prediction framework that maximizes the usefulness of outdated Channel State Information (CSI) in the presence of integer and fractional delay-Doppler channels and facilitates high mobility MIMO communication.","short_abstract":"As 6G technologies advance, international bodies and regulatory agencies are intensifying efforts to extend seamless connectivity especially for high-mobility scenarios such as Mobile Ad-Hoc Networks (\\textit{MANETs}) types such as Vehicular Ad-Hoc Networks (\\textit{VANETs}) and Flying Ad-Hoc Networks (\\textit{FANETs})...","url_abs":"https://arxiv.org/abs/2510.23832","url_pdf":"https://arxiv.org/pdf/2510.23832v1","authors":"[\"Evan Allen\",\"Karim Said\",\"Robert Calderbank\",\"Lingjia Liu\"]","published":"2025-10-27T20:18:12Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}