eess.SP

DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction

Ran Greidi, Kobi Cohen / March 26, 2026

arXiv:2603.23544v1 Announce Type: cross
Abstract: Peak-to-average power ratio (PAPR) remains a major limitation of multicarrier modulation schemes such as orthogonal frequency-division multiplexing (OFDM), reducing power amplifier efficiency and limit…

cs.LG, cs.NI, eess.SP

Measurement-Driven Early Warning of Reliability Breakdown in 5G NSA Railway Networks

Po-Heng Chou, Da-Chih Lin, Hung-Yu Wei, Walid Saad, Yu Tsao / March 26, 2026

arXiv:2511.08851v4 Announce Type: replace-cross
Abstract: This paper presents a measurement-driven study of early warning for reliability breakdown events in 5G non-standalone (NSA) railway networks. Using 10 Hz metro-train measurement traces with ser…