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Holographic MIMO (hMIMO) systems with a massive number of individually controlled antennas N make minimum mean square error (MMSE) channel estimation particularly challenging, due to its computational complexity that scales as $N^3$ . This…

Information Theory · Computer Science 2023-12-19 Antonio Alberto D'Amico , Giacomo Bacci , Luca Sanguinetti

Wireless channel sensing is one of the key enablers for integrated sensing and communication (ISAC) which helps communication networks understand the surrounding environment. In this work, we consider MIMO-OFDM systems and aim to design…

Information Theory · Computer Science 2023-01-26 Xinyang Li , Vlad C. Andrei , Ullrich J. Mönich , Holger Boche

Pilot-aided channel estimation is nowadays a standard component in each wireless receiver enabling coherent transmission of complex-valued constellations, only affected by noise and interference. Whenever these disturbances are sufficiently…

Information Theory · Computer Science 2015-12-15 Philipp Walk , Henning Becker , Peter Jung

Millimeter wave multiple-input multiple-output (MIMO) communication systems must operate over sparse wireless links and will require large antenna arrays to provide high throughput. To achieve sufficient array gains, these systems must…

Signal Processing · Electrical Eng. & Systems 2019-04-17 Wei Zhang , Taejoon Kim , David J. Love

In this paper, adaptive training beam sequence design for efficient channel estimation in large millimeter-wave(mmWave) multiple-input multiple-output (MIMO) channels is considered. By exploiting the sparsity in large mmWave MIMO channels…

Information Theory · Computer Science 2014-10-15 Junyeong Seo , Youngchul Sung , Gilwon Lee , Donggun Kim

This paper investigates semi-blind channel estimation for massive multiple-input multiple-output (MIMO) systems. To this end, we first estimate a subspace based on all received symbols (pilot and payload) to provide additional information…

Signal Processing · Electrical Eng. & Systems 2025-10-22 Franz Weißer , Nurettin Turan , Dominik Semmler , Fares Ben Jazia , Wolfgang Utschick

We propose a novel algorithm to estimate the channel covariance matrix of a desired user in multiuser massive MIMO systems. The algorithm uses only knowledge of the array response and rough knowledge of the angular support of the incoming…

Signal Processing · Electrical Eng. & Systems 2020-06-15 Renato Luis Garrido Cavalcante , Slawomir Stanczak

In this paper, we investigate channel estimation for reconfigurable intelligent surface (RIS) empowered millimeter-wave (mmWave) multi-user single-input multiple-output communication systems using low-resolution quantization. Due to the…

Information Theory · Computer Science 2025-10-21 Gyoseung Lee , In-soo Kim , Yonina C. Eldar , A. Lee Swindlehurst , Hyeongtaek Lee , Minje Kim , Junil Choi

Intelligent Reflecting Surfaces (IRSs) are a promising technology for enhancing the spectral and energy efficiency of millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems. In these systems, accurate channel estimation…

Signal Processing · Electrical Eng. & Systems 2026-05-15 Mehrdad Momen-Tayefeh , Mehrshad Momen-Tayefeh , Maryam Sabbaghian

Millimeter-wave (mmWave) massive Multiple Input Multiple Output (MIMO) systems encounter both spatial wideband spreading and temporal wideband effects in the communication channels of individual users. Accurate estimation of a user's…

Signal Processing · Electrical Eng. & Systems 2025-04-22 Chandrashekhar Rai , Debarati Sen

In general, reliable communication via multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) requires accurate channel estimation at the receiver. The existing literature largely focuses on denoising…

Signal Processing · Electrical Eng. & Systems 2025-08-12 Myeung Suk Oh , Seyyedali Hosseinalipour , Taejoon Kim , Christopher G. Brinton , David J. Love

Accurate channel estimation in massive multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is challenging when the number of pilot symbols is much smaller than the number of transmit antennas.…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Xiucheng Wang , Nan Cheng , Yiyan Zhang , Ruijin Sun , Haixia Peng

In this paper, we propose a coordinated pilot design method to minimize the channel estimation mean squared error (MSE) in 1-bit analog-to-digital converters (ADCs) massive multiple-input multiple-output (MIMO). Under the assumption that…

Signal Processing · Electrical Eng. & Systems 2025-11-14 Hyeongtak Yun , Juntaek Han , Kaiming Shen , Jeonghun Park

Millimeter wave (mmWave) multiple-input-multi-output (MIMO) is now a reality with great potential for further improvement. We study full-duplex transmissions as an effective way to improve mmWave MIMO systems. Compared to half-duplex…

Information Theory · Computer Science 2025-01-31 Mehdi Sattari , Hao Guo , Deniz Gündüz , Ashkan Panahi , Tommy Svensson

High-resolution parameter estimation algorithms designed to exploit the prior knowledge about incident signals from strictly second-order (SO) non-circular (NC) sources allow for a lower estimation error and can resolve twice as many…

Information Theory · Computer Science 2015-01-07 Jens Steinwandt , Florian Roemer , Martin Haardt , Giovanni Del Galdo

This paper considers pilot-based channel estimation in large-scale multiple-input multiple-output (MIMO) communication systems, also known as massive MIMO, where there are hundreds of antennas at one side of the link. Motivated by the fact…

Information Theory · Computer Science 2015-06-18 Nafiseh Shariati , Emil Björnson , Mats Bengtsson , Mérouane Debbah

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

Millimeter wave (mmWave) communication is a promising solution for coping with the ever-increasing mobile data traffic because of its large bandwidth. To enable a sufficient link margin, a large antenna array employing directional…

Information Theory · Computer Science 2019-07-02 Reza Ghanaatian , Vahid Jamali , Andreas Burg , Robert Schober

This paper proposes a novel approach for designing channel estimation, beamforming and scheduling jointly for wideband massive multiple input multiple output (MIMO) systems. With the proposed approach, we first quantify the maximum number…

Information Theory · Computer Science 2018-01-17 Tadilo Endeshaw Bogale , Long Bao Le , Xianbin Wang

This paper addresses the training signal design for the channel estimation in two-way multiple-input-and-multipleoutput (MIMO) relay systems, where the channels are correlated. We first derive the backward channel estimator with the optimal…

Information Theory · Computer Science 2021-12-15 Huiming Chen
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