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This paper proposes a machine learning-assisted channel estimation approach for massive MIMO systems, leveraging DNNs to outperform traditional LS and MMSE methods. In 5G and beyond, accurate channel estimation mitigates pilot contamination…

Signal Processing · Electrical Eng. & Systems 2025-10-16 Haoran He

Affine frequency division multiplexing (AFDM) is a multi-chirp waveform and a promising solution for ultra-reliable communication under doubly dispersive channels. In this paper, we propose two pilot aided channel estimation schemes for…

Signal Processing · Electrical Eng. & Systems 2022-06-24 Haoran Yin , Yanqun Tang

In this paper, we propose a study of performance of the channel estimation using LS, MMSE, LMMSE and Lr-LMMSE algorithms in OFDM (Orthogonal Frequency Division Multiplexing) system which, as known suffers from the time variation of the…

Other Computer Science · Computer Science 2012-02-09 Aida Zaier , Ridha Bouallegue

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

Flexible intelligent metasurfaces (FIMs) offer a new solution for wireless communications by introducing morphological degrees of freedom, dynamically morphing their three-dimensional shape to ensure multipath signals interfere…

Information Theory · Computer Science 2026-04-08 Jian Xiao , Ji Wang , Qimei Cui , Yucang Yang , Xingwang Li , Dusit Niyato , Chau Yuen

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

Uplink sensing is still a relatively unexplored scenario in integrated sensing and communication which can be used to improve positioning and sensing estimates. We introduce a pilot-based maximum likelihood, and a maximum a posteriori…

Signal Processing · Electrical Eng. & Systems 2024-06-13 Enrique T. R. Pinto , Markku Juntti

Integrated super-resolution sensing and communication (ISSAC) has emerged as a promising technology to achieve extremely high precision sensing for those key parameters, such as the angles of the sensing targets. In this paper, we propose…

Signal Processing · Electrical Eng. & Systems 2024-07-31 Jingran Xu , Huizhi Wang , Yong Zeng , Xiaoli Xu , Qingqing Wu , Fei Yang , Yan Chen , Abbas Jamalipour

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…

Signal Processing · Electrical Eng. & Systems 2023-01-20 Peiyang Song , Nan Zhang , Lin Cai , Guo Li , Fengkui Gong

An accurate channel estimation is crucial for the novel time domain synchronous orthogonal frequency-division multiplexing (TDS-OFDM) scheme in which pseudo noise (PN) sequences serve as both guard intervals (GI) for OFDM data symbols and…

Information Theory · Computer Science 2012-12-12 Ming Liu , Matthieu Crussière , Jean-François Hélard

A pilot-assisted transmission (PAT) scheme is proposed for short blocklengths, where the pilots are used only to derive an initial channel estimate for the list construction step. The final decision of the message is obtained by applying a…

Information Theory · Computer Science 2019-01-17 Mustafa Cemil Coşkun , Gianluigi Liva , Johan Östman , Giuseppe Durisi

Orthogonal frequency-division multiplexing (OFDM) is widely adopted for providing reliable and high data rate communication in high-speed train systems. However, with the increasing train mobility, the resulting large Doppler shift…

Signal Processing · Electrical Eng. & Systems 2020-03-05 Xiang Ren , Meixia Tao , Wen Chen

A new model for sparse time dispersive channels in pilot aided OFDM systems is developed by considering prior knowledge on channel time dispersions. Weighted atomic norm minimization is implemented in the model which enables a more accurate…

Information Theory · Computer Science 2018-10-26 Hoomaan Hezaveh , Iman Valiulahi , Mohammad Hossein Kahaei

In this paper, we propose an algorithm for channel estimation, acquisition and tracking, for orthogonal frequency division multiplexing (OFDM) systems. The proposed algorithm is suitable for vehicular communications that encounter very high…

Information Theory · Computer Science 2016-02-03 Mahmoud Ashour , Amr El-Keyi

In addition to enhancing wireless communication coverage quality, reconfigurable intelligent surface (RIS) technique can also assist in positioning. In this work, we consider RIS-assisted superimposed pilot and data transmission without the…

Information Retrieval · Computer Science 2025-04-08 Wenchao Xia , Ben Zhao , Wankai Tang , Yongxu Zhu , Kai-Kit Wong , Sangarapillai Lambotharan , Hyundong Shin

This paper analyzes faster-than-Nyquist (FTN) signaling within a consistent framework based on a fixed time-bandwidth product (TBP), resolving potential ambiguities present in finite blocklength analysis. A key feature of FTN is its ability…

Information Theory · Computer Science 2026-03-13 Yong Jin Daniel Kim

In this work, for the first time, we tackle channel estimation design with pilots in the context of covert wireless communication. Specifically, we consider Rayleigh fading for the communication channel from a transmitter to a receiver and…

Information Theory · Computer Science 2019-08-02 Tingzhen Xu , Linlin Sun , Shihao Yan , Jinsong Hu , Feng Shu

This paper develops a low-complexity channel estimation (CE) scheme based on compressive sensing (CS) for time-domain synchronous (TDS) orthogonal frequency-division multiplexing (OFDM) to overcome the performance loss under doubly…

Information Theory · Computer Science 2015-11-30 Zhen Gao , Chao Zhang , Zhaocheng Wang , Sheng Chen

Faster-than-Nyquist (FTN) signaling is a non-orthogonal transmission technique offering a promising solution for future generations of communications. This paper studies the capacity of FTN signaling in multiple-input multiple-output (MIMO)…

Information Theory · Computer Science 2025-08-26 Zichao Zhang , Melda Yuksel , Gokhan M. Guvensen , Halim Yanikomeroglu

This paper proposes a semantic pilot design for data-aided channel estimation in text-inclusive data transmission, using a large language model (LLM). In this scenario, channel impairments often appear as typographical errors in the decoded…

Signal Processing · Electrical Eng. & Systems 2026-05-18 Sojeong Park , Hyun Jong Yang