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Faster-than-Nyquist (FTN) signaling is a promising non-orthogonal physical layer transmission technique to improve the spectral efficiency of future communication systems but at the expense of intersymbol-interference (ISI). In this paper,…

Information Theory · Computer Science 2019-04-16 Ebrahim Bedeer , Halim Yanikomeroglu , Mohamed Hossam Ahmed

In this paper, we investigate the detection problem of binary faster-than-Nyquist (FTN) signaling and propose a novel sequence estimation technique that exploits its special structure. In particular, the proposed sequence estimation…

Information Theory · Computer Science 2017-03-08 Ebrahim Bedeer , Halim Yanikomeroglu , Mohamed Hossam Ahmed

In this paper, we investigate the sequence estimation problem of binary and quadrature phase shift keying faster-than-Nyquist (FTN) signaling and propose two novel low-complexity sequence estimation techniques based on concepts of…

Information Theory · Computer Science 2017-01-31 Ebrahim Bedeer , Mohamed Hossam Ahmed , Halim Yanikomeroglu

Faster-than-Nyquist (FTN) signaling is a promising non-orthogonal pulse modulation technique that can improve the spectral efficiency (SE) of next generation communication systems at the expense of higher detection complexity to remove the…

Information Theory · Computer Science 2021-11-18 Ahmed Ibrahim , Ebrahim Bedeer , Halim Yanikomeroglu

Being capable of enhancing the spectral efficiency (SE), faster-than-Nyquist (FTN) signaling is a promising approach for wireless communication systems. This paper investigates the doubly-selective (i.e., time- and frequency-selective)…

Information Theory · Computer Science 2023-05-25 Simin Keykhosravi , Ebrahim Bedeer

Spectrum scarcity necessitates innovative, spectral-efficient strategies to meet the ever-growing demand for high data rates. Faster-than-Nyquist (FTN) signaling emerges as a compelling spectral-efficient transmission method that pushes…

Signal Processing · Electrical Eng. & Systems 2024-06-18 Adem Cicek , Ian Marsland , Enver Cavus , Ebrahim Bedeer , Halim Yanikomeroglu

A deep learning assisted sum-product detection algorithm (DL-SPDA) for faster-than-Nyquist (FTN) signaling is proposed in this paper. The proposed detection algorithm works on a modified factor graph which concatenates a neural network…

Information Theory · Computer Science 2020-12-16 Bryan Liu , Shuangyang Li , Yixuan Xie , Jinhong Yuan

Reduced complexity faster-than-Nyquist (FTN) signaling systems are gaining increased attention as they provide improved bandwidth utilization for an acceptable level of detection complexity. In order to have a better understanding of the…

Signal Processing · Electrical Eng. & Systems 2020-03-03 Abdulsamet Caglan , Adem Cicek , Enver Cavus , Ebrahim Bedeer , Halim Yanikomeroglu

Faster-than-Nyquist (FTN) signalling has emerged as a compelling technique for enhancing spectral efficiency in bandwidth-constrained communication systems. By intentionally introducing controlled intersymbol interference (ISI), FTN allows…

Information Theory · Computer Science 2026-05-05 Shubham Paul , Sheetal Kalyani , Nambi Sheshadri , R David Koilpillai

Faster-than-Nyquist (FTN) signaling and superimposed pilot (SP) techniques are effective solutions for significantly enhancing the spectral efficiency (SE) in next-generation wireless communication systems. This paper proposes an innovative…

Signal Processing · Electrical Eng. & Systems 2025-03-26 Simin Keykhosravi , Ebrahim Bedeer

Ultra-reliable low-latency communication (URLLC) requires short packets of data transmission. It is known that when the packet length becomes short, the achievable rate is subject to a penalty when compared to the channel capacity. In this…

Information Theory · Computer Science 2021-06-22 Emre Cerci , Adem Cicek , Enver Cavus , Ebrahim Bedeer , Halim Yanikomeroglu

Faster-than-Nyquist (FTN) signaling can improve the spectral efficiency (SE); however, at the expense of high computational complexity to remove the introduced intersymbol interference (ISI). Motivated by the recent success of ML in…

Information Theory · Computer Science 2022-08-24 Sina Abbasi , Ebrahim Bedeer

Faster-than-Nyquist (FTN) signaling is a candidate non-orthonormal transmission technique to improve the spectral efficiency (SE) of future communication systems. However, such improvements of the SE are at the cost of additional…

Information Theory · Computer Science 2022-04-18 Sina Abbasi , Ebrahim Bedeer

A deep learning assisted sum-product detection algorithm (DL-SPA) for faster-than-Nyquist (FTN) signaling is proposed in this paper. The proposed detection algorithm concatenates a neural network to the variable nodes of the conventional…

Information Theory · Computer Science 2019-07-23 Bryan Liu , Shuangyang Li , Yixuan Xie , Jinhong Yuan

In this letter, we propose a new symbol detection method for faster-than-Nyquist signaling (FTNS) systems. Based on frame theory, we formulate a symbol detection problem as a under-determined linear equation on a finite set. The problem is…

Information Theory · Computer Science 2016-12-21 Hampei Sasahara , Kazunori Hayashi , Masaaki Nagahara

Faster-than-Nyquist (FTN) signaling is an attractive transmission technique which accelerates data symbols beyond the Nyquist rate to improve the spectral efficiency; however, at the expense of higher computational complexity to remove the…

Information Theory · Computer Science 2022-10-05 Adem Cicek , Enver Cavus , Ebrahim Bedeer , Ian Marsland , Halim Yanikomeroglu

Faster-than-Nyquist (FTN) signaling aims at improving the spectral efficiency of wireless communication systems by exceeding the boundaries set by the Nyquist-Shannon sampling theorem. 50 years after its first introduction in the scientific…

Signal Processing · Electrical Eng. & Systems 2025-07-30 Bruno De Filippo , Carla Amatetti , Alessandro Vanelli-Coralli

Future wireless networks are expected to deliver ultra-high throughput for supporting emerging applications. In such scenarios, conventional Nyquist signaling may falter. As a remedy, faster-than-Nyquist (FTN) signaling facilitates the…

Information Theory · Computer Science 2026-01-05 Shuangyang Li , Melda Yuksel , Tongyang Xu , Shinya Sugiura , Jinhong Yuan , Giuseppe Caire , Lajos Hanzo

Faster-than-Nyquist (FTN) signaling aided non-orthogonal multiple access (NOMA) is conceived and its achievable rate is quantified in the presence of random link delays of the different users. We reveal that exploiting the link delays may…

Information Theory · Computer Science 2021-11-29 Shuangyang Li , Zhiqiang Wei , Weijie Yuan , Jinhong Yuan , Baoming Bai , Derrick Wing Kwan Ng , Lajos Hanzo

This letter proposes the Faster-than-Nyquist signaling (FTNS) using overlap frequency domain equalization (FDE), which compensates the inter-symbol interference (ISI) due to band limiting filters of the FTNS at the transmitter and the…

Information Theory · Computer Science 2015-09-03 Hiroyuki Fukumoto , Kazunori Hayashi
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