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In this paper, we propose a serially concatenated turbo-encoded faster-than-Nyquist signaling (FTNS) transceiver that takes into account FTNS-specific colored noise effects. The proposed low-complexity receiver carries out soft-decision…

信息论 · 计算机科学 2016-04-14 Takumi Ishihara , Shinya Sugiura

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…

信息论 · 计算机科学 2021-06-22 Emre Cerci , Adem Cicek , Enver Cavus , Ebrahim Bedeer , Halim Yanikomeroglu

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…

信息论 · 计算机科学 2016-12-21 Hampei Sasahara , Kazunori Hayashi , Masaaki Nagahara

We conceive a novel channel estimation and data detection scheme for OTFS-modulated faster-than-Nyquist (FTN) transmission over doubly selective fading channels, aiming for enhancing the spectral efficiency and Doppler resilience. The…

信号处理 · 电气工程与系统科学 2026-01-21 Zekun Hong , Shinya Sugiura , Chao Xu , Lajos Hanzo

Faster-than-Nyquist (FTN) signaling is a non-orthogonal transmission technique, which has the potential to provide significant spectral efficiency improvement. This paper studies the capacity of FTN signaling for both frequency-flat and for…

信息论 · 计算机科学 2022-10-11 Zichao Zhang , Melda Yuksel , 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…

信息论 · 计算机科学 2020-12-16 Bryan Liu , Shuangyang Li , Yixuan Xie , Jinhong Yuan

We propose a low complexity graph-based linear minimum mean square error (LMMSE) equalizer which considers both the intersymbol interference (ISI) and the effect of non-white noise inherent in Faster-than-Nyquist (FTN) signaling. In order…

信息论 · 计算机科学 2016-11-17 Pinar Sen , Tugcan Aktas , A. Ozgur Yilmaz

In this paper, we provide an analytical study of single-carrier faster-than-Nyquist (FTN) signaling for integrated sensing and communications (ISAC). Our derivations show that FTN is advantageous for ISAC, and reveal new insights that these…

信息论 · 计算机科学 2025-06-12 Shuangyang Li , Fan Liu , Yifeng Xiong , Weijie Yuan , Baoming Bai , Christos Masouros , Giuseppe Caire

This work addresses the issue of interference generated by co-channel users in downlink multi-antenna multicarrier systems with frequency-packed faster-than-Nyquist (FTN) signaling. The resulting interference stems from an aggressive…

信号处理 · 电气工程与系统科学 2021-07-16 Wallace A. Martins , Symeon Chatzinotas , Björn Ottersten

This letter proposes a blind symbol packing rartio estimation for faster-than-Nyquist (FTN) signaling based on state-of-the-art deep learning (DL) technology. The symbol packing rartio is a vital parameter to obtain the real symbol rate and…

信号处理 · 电气工程与系统科学 2019-12-30 Peiyang Song , Fengkui Gong , Qiang Li

With the rapid development of various services in wireless communications, spectrum resource has become increasingly valuable. Faster than Nyquist (FTN) signaling, proposed in the 1970s, is a promising paradigm for improving spectrum…

信号处理 · 电气工程与系统科学 2023-01-20 Peiyang Song , Nan Zhang , Lin Cai , Guo Li , Fengkui Gong

Faster-than-Nyquist (FTN) signal achieves higher spectral efficiency and capacity compared to Nyquist signal due to its smaller pulse interval or narrower subcarrier spacing. Shannon limit typically defines the upper-limit capacity of…

信息论 · 计算机科学 2017-06-28 Ji Zhou , Yaojun Qiao , Zhanyu Yang , Mengqi Guo , Xizi Tang

Detecting maximal square submatrices of ones in binary matrices is a fundamental problem with applications in computer vision and pattern recognition. While the standard dynamic programming (DP) solution achieves optimal asymptotic…

数据结构与算法 · 计算机科学 2025-07-22 Swastik Bhandari

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…

信息论 · 计算机科学 2021-11-29 Shuangyang Li , Zhiqiang Wei , Weijie Yuan , Jinhong Yuan , Baoming Bai , Derrick Wing Kwan Ng , Lajos Hanzo

In this letter, we analyze the performance of covert communications under faster-than-Nyquist (FTN) signaling in the Rayleigh block fading channel. Both Bayesian criterion- and Kullback-Leibler (KL) divergence-based covertness constraints…

信息论 · 计算机科学 2022-01-19 Yuan Li , Yuchen Zhang , Wanyu Xiang , Jianquan Wang , Sa Xiao , Liang Chang , Wanbin Tang

This paper proposes low-overhead and low-complexity channel estimation (CE) of frequency-domain equalization aided faster-than-Nyquist (FTN) signaling. In the proposed CE scheme, the concept of pilot superimposition is employed, where the…

信号处理 · 电气工程与系统科学 2026-03-23 Yuchen Wu , Shinya Sugiura

The pursuit of higher data rates and efficient spectrum utilization in modern communication technologies necessitates novel solutions. In order to provide insights into improving spectral efficiency and reducing latency, this study…

信息论 · 计算机科学 2025-01-15 Zichao Zhang , Melda Yuksel , Halim Yanikomeroglu , Benjamin K. Ng , Chan-Tong Lam

A precoded orthogonal time frequency space (OTFS) modulation scheme relying on faster-than-Nyquist (FTN) transmission over doubly selective fading channels is {proposed}, which enhances the spectral efficiency and improves the Doppler…

信号处理 · 电气工程与系统科学 2024-11-05 Zekun Hong , Shinya Sugiura , Chao Xu , Lajos Hanzo

In 1975, the pioneering work of J. E. Mazo showed the potential faster-than-Nyquist (FTN) gain of single-carrier binary signal. If the inter-symbol interference is eliminated by an optimal detector, the FTN single-carrier binary signal can…

信息论 · 计算机科学 2020-02-03 Mengqi Guo , Ji Zhou , Yueming Lu , Yaojun Qiao

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…

信息论 · 计算机科学 2019-07-23 Bryan Liu , Shuangyang Li , Yixuan Xie , Jinhong Yuan