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arxiv: 2606.19226 · v1 · pith:5I64PRJWnew · submitted 2026-06-17 · 📡 eess.SP · cs.IT· math.IT

Pushing the Limits: Unlocking the Potential of Faster-than-Nyquist Signaling

classification 📡 eess.SP cs.ITmath.IT
keywords faster-than-nyquistpotentialpowersignalingspectrumtakesaccelerationacross
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Faster-than-Nyquist (FTN) signaling is gaining attention as a smart way to pack more data into limited spectrum by intentionally breaking the traditional symbol-spacing rules. This article takes a fresh look at FTN's potential to boost capacity, examining how performance varies across different acceleration factors and signal-to-noise ratio (SNR) definitions. Beyond the theory, we explore what it takes to make FTN work in practice, such as dealing with power amplifier constraints, managing high peak-to-average power, and designing practical coding strategies. We also highlight real-world issues like spectrum sharing, short-packet communication, and receiver complexity. With applications ranging from low-latency links to integrated sensing and satellite systems, FTN offers a compelling path forward for future wireless technologies.

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