Faster-Than-Nyquist Signaling in Communication Systems
Summary
Faster-Than-Nyquist (FTN) signalling is a spectral-efficiency paradigm in which binary or higher-order symbols are transmitted at intervals shorter than the classical Nyquist criterion. By intentionally introducing controlled intersymbol interference (ISI), FTN can exceed traditional data-rate limits without expanding the occupied bandwidth. Early theoretical work established that, with optimal detection, FTN can approach the Shannon capacity for ideal bandlimited channels. Practical realisations have since focused on managing the induced ISI through advanced receiver algorithms, including precoding, eigenvalue decomposition and machine-learning-aided detectors. Recent advances have spanned single-carrier and multicarrier implementations, leveraging fast Fourier transform (FFT)-based methods, power allocation strategies and deep-neural-network architectures. The technique shows particular promise for next-generation wireless networks, optical links and narrowband IoT, where spectral resources are scarce and coexistence with legacy systems is essential. By combining FTN with cooperative relaying or non-orthogonal multiple access, researchers have further enhanced diversity and fairness metrics. Ongoing challenges include the complexity–performance trade-off in detection, sensitivity to channel estimation errors and peak-to-average-power-ratio management. Nevertheless, FTN signalling stands out as a globally significant approach to boosting throughput in congested spectrum environments.
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Faster-Than-Nyquist Signaling in Communication Systems publication trend
The graph below shows the total number of articles in faster-than-nyquist signaling in communication systems across all publications each year (not limited to Nature Index journals).
Technical terms
Faster-Than-Nyquist signalling: A transmission method that deliberately sends symbols at a rate exceeding the Nyquist interval to boost spectral efficiency at the expense of controlled intersymbol interference.
Nyquist criterion: A theoretical limit that specifies the maximum symbol rate for zero‐ISI transmission over a bandlimited channel.
Intersymbol interference (ISI): Overlap of successive symbols in time, typically regarded as distortion, but harnessed in FTN to increase data throughput.
Precoding: A transmitter-side processing technique that shapes symbols before transmission to simplify receiver detection and mitigate channel impairments.
Spectral efficiency: The rate of information transmission per unit bandwidth, often measured in bits per second per hertz.
References
- MetNet: A Novel Low-Complexity Neural Network-Aided Detection for Faster-Than-Nyquist (FTN) Signaling in ISI Channels. IEEE Open Journal of the Communications Society (2023).
- Capacity and Outage Probability Analysis of Faster-Than-Nyquist Cooperative NOMA. IEEE Wireless Communications Letters (2023).
- Reduced-Complexity FFT-Spread Multicarrier Faster-Than-Nyquist Signaling in Frequency-Selective Fading Channel. IEEE Open Journal of the Communications Society (2022).
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