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This paper analyses the statistics of the clipping noise in orthogonal frequency-division-multiplex (OFDM) based visible light Communication systems. The clipped signal is generally modelled as the summation of the scaled original signal…

Signal Processing · Electrical Eng. & Systems 2019-09-10 Nima Taherkhani , Kamran Kiasaleh

Multi-user Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Output Multiple Output (MIMO) have been widely adopted to enhance the system throughput and combat the detrimental effects of wireless channels. Recently,…

Information Theory · Computer Science 2015-02-18 Yi Xu , Shiwen Mao , Xin Su

In this article, we propose a model-driven deep learning (DL) approach that combines DL with the expert knowledge to replace the existing orthogonal frequency-division multiplexing (OFDM) receiver in wireless communications. Different from…

Signal Processing · Electrical Eng. & Systems 2018-10-23 Xuanxuan Gao , Shi Jin , Chao-Kai Wen , Geoffrey Ye Li

This paper considers channel estimation and system performance for the uplink of a single-cell massive multiple-input multiple-output (MIMO) system. Each receive antenna of the base station (BS) is assumed to be equipped with a pair of…

Information Theory · Computer Science 2017-08-02 Yongzhi Li , Cheng Tao , Gonzalo Seco-Granados , Amine Mezghani , A. Lee Swindlehurst , Liu Liu

Massive MIMO is a variant of multiuser MIMO where the number of base-station antennas $M$ is very large (typically 100), and generally much larger than the number of spatially multiplexed data streams (typically 10). Unfortunately, the…

Information Theory · Computer Science 2016-07-28 Saeid Haghighatshoar , Giuseppe Caire

Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical performance gains in massive MIMO systems, accurate channel state…

Information Theory · Computer Science 2017-01-30 Wenqian Shen , Linglong Dai , Yi Shi , Byonghyo Shim , Zhaocheng Wang

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technique for the future 5G wireless communications. Due to a large number of antennas but a much smaller number of radio frequency…

Information Theory · Computer Science 2017-10-31 Anwen Liao , Zhen Gao , Yongpeng Wu , Hua Wang , Mohamed-Slim Alouini

This study explores the promising potential of integrating sensing capabilities into multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM)-based networks through innovative multi-sensor fusion techniques,…

Signal Processing · Electrical Eng. & Systems 2023-12-13 Elia Favarelli , Elisabetta Matricardi , Lorenzo Pucci , Wen Xu , Enrico Paolini , Andrea Giorgetti

Information delivery using chemical molecules is an integral part of biology at multiple distance scales and has attracted recent interest in bioengineering and communication. The collective signal strength at the receiver (i.e., the…

Information Theory · Computer Science 2016-08-04 Yansha Deng , Adam Noel , Weisi Guo , Arumugam Nallanathan , Maged Elkashlan

This paper presents enhanced receiver metrics for joint estimation-detection in short blocklength transmissions, addressing scenarios with unknown channel state information and low or sparse training resource density. We show that it is…

Information Theory · Computer Science 2025-10-08 Mody Sy , Raymond Knopp

In this paper we address the linear precoding and decoding design problem for a bidirectional orthogonal frequencydivision multiplexing (OFDM) communication system, between two multiple-input multiple-output (MIMO) full-duplex (FD) nodes.…

Information Theory · Computer Science 2018-02-09 Omid Taghizadeh , Vimal Radhakrishnan , Ali Cagatay Cirik , Rudolf Mathar , Lutz Lampe

In this paper, an efficient beam and channel acquisition scheme together with joint angle-delay power profile (JADPP) construction are proposed for single-carrier mm-wave wideband sparse massive multiple-input multiple-output (MIMO)…

Information Theory · Computer Science 2019-10-15 Ali O. Kalayci , Gokhan M. Guvensen

We propose a novel framework for integrated communication and computing (ICC) transceiver design in time-varying millimeter-wave (mmWave) channels. In particular, in order to cope with the dynamics of time-varying mmWave channels, the…

Signal Processing · Electrical Eng. & Systems 2025-09-10 Joan Çollaku , Kuranage Roche Rayan Ranasinghe , Giuseppe Thadeu Freitas de Abreu , Takumi Takahashi

The aim of this paper is to investigate the recently developed mixed-ADC architecture for frequency-selective channels. Multi-carrier techniques such as orthogonal frequency division multiplexing (OFDM) are employed to handle inter-symbol…

Information Theory · Computer Science 2016-11-17 Ning Liang , Wenyi Zhang

Channel estimation is a critical task in multiple-input multiple-output (MIMO) digital communications that substantially effects end-to-end system performance. In this work, we introduce a novel approach for channel estimation using deep…

Signal Processing · Electrical Eng. & Systems 2022-11-09 Marius Arvinte , Jonathan I Tamir

As the number of antennas in frequency-division duplex (FDD) multiple-input multiple-output (MIMO) systems increases, acquiring channel state information (CSI) becomes increasingly challenging due to limited spectral resources and feedback…

Signal Processing · Electrical Eng. & Systems 2025-12-15 Yiran Guo , Wei Chen , Bo Ai , Lun Li

This article presents our initial results in deep learning for channel estimation and signal detection in orthogonal frequency-division multiplexing (OFDM). OFDM has been widely adopted in wireless broadband communications to combat…

Information Theory · Computer Science 2017-08-30 Hao Ye , Geoffrey Ye Li , Biing-Hwang Fred Juang

In this work, we discuss techniques for coherently detecting turbo coded orthogonal frequency division multiplexed (OFDM) signals, transmitted through frequency selective Rayleigh (the magnitude of each channel tap is Rayleigh distributed)…

Information Theory · Computer Science 2015-11-04 K. Vasudevan

Interference widely exists in communication systems and is often not optimally treated at the receivers due to limited knowledge and/or computational burden. Evolutions of receivers have been proposed to balance complexity and spectral…

Information Theory · Computer Science 2025-11-14 Sibo Zhang , Bruno Clerckx

This paper tackles the challenge of wideband MIMO channel estimation within indoor millimeter-wave scenarios. Our proposed approach exploits the integrated sensing and communication paradigm, where sensing information aids in channel…

Signal Processing · Electrical Eng. & Systems 2023-09-27 Silvia Mura , Marouan Mizmizi , Umberto Spagnolini , Athina Petropulu
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