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In this paper, we derive an asymptotic closed--form expression for the error bound on extrapolation of doubly selective mobile MIMO wireless channels. The bound shows the relationship between the prediction error and system design…

Information Theory · Computer Science 2014-07-25 Ramoni Adeogun , Paul Teal , Pawel Dmochowski

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

We consider the downlink of a MIMO-OFDM wireless systems where the base-station (BS) has M antennas and serves K single-antenna user terminals (UT) with K larger than or equal to M. Users estimate their channel vectors from common downlink…

Information Theory · Computer Science 2008-12-01 Hooman Shirani-Mehr , Daniel N. Liu , Giuseppe Caire

This paper proposes a parametric channel estimation algorithm applicable to uplink of OFDMA systems with pseudo-random subchannelization. It exploits the hopping pilots to facilitate ESPRIT to estimate the delay subspace of the multipath…

Information Theory · Computer Science 2008-11-05 Xiaochuan Zhao , Tao Peng , Wenbo Wang

The high directionality and intense Doppler effects of millimeter wave (mmWave) and sub-terahertz (subTHz) channels demand accurate localization of the users and a new paradigm of channel estimation. For orthogonal frequency division…

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

In this paper, we develop two high-resolution channel estimation schemes based on the estimating signal parameters via the rotational invariance techniques (ESPRIT) method for frequency-selective millimeter wave (mmWave) massive MIMO…

Signal Processing · Electrical Eng. & Systems 2020-02-18 Wenyan Ma , Chenhao Qi , Geoffrey Ye Li

Channel state information is crucial to achieving the capacity of multi-antenna (MIMO) wireless communication systems. It requires estimating the channel matrix. This estimation task is studied, considering a sparse channel model…

Information Theory · Computer Science 2018-04-06 Luc Le Magoarou , Stéphane Paquelet

This paper proposes a model-driven deep learning (MDDL)-based channel estimation and feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input multiple-output (MIMO) systems, where the angle-delay domain channels'…

Information Theory · Computer Science 2022-01-20 Xisuo Ma , Zhen Gao , Feifei Gao , Marco Di Renzo

This letter proposes a parametric sparse multiple input multiple output (MIMO)-OFDM channel estimation scheme based on the finite rate of innovation (FRI) theory, whereby super-resolution estimates of path delays with arbitrary values can…

Information Theory · Computer Science 2015-07-21 Zhen Gao , Linglong Dai , Zhaohua Lu , Chau Yuen , Zhaocheng Wang

Spatial wideband effects are known to affect channel estimation and localization performance in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. Based on perturbation analysis, we show that the spatial…

Signal Processing · Electrical Eng. & Systems 2022-09-20 Shudi Weng , Fan Jiang , Henk Wymeersch

We consider the problem of estimating sparse communication channels in the MIMO context. In small to medium bandwidth communications, as in the current standards for OFDM and CDMA communication systems (with bandwidth up to 20 MHz), such…

Networking and Internet Architecture · Computer Science 2016-11-17 Yann Barbotin , Ali Hormati , Sundeep Rangan , Martin Vetterli

Classical linear statistical models, like the first-order auto-regressive (AR) model, are commonly used as channel model in high-mobility scenarios. However, compared to sub-6G, the effect of Doppler frequency shifts is more significant at…

Information Theory · Computer Science 2024-08-28 Ruizhe Wang , Hong Ren , Cunhua Pan , Gui Zhou , Ruisong Weng , Jiangzhou Wang

This paper investigates channel estimation for linear time-varying (LTV) wireless channels under double sparsity, i.e., sparsity in both the delay and Doppler domains. An on-grid approximation is first considered, enabling rigorous…

Information Theory · Computer Science 2025-11-10 Wissal Benzine , Ali Bemani , Nassar Ksairi , Dirk Slock

Millimeter Wave (mmWave) massive Multiple Input Multiple Output (MIMO) systems realizing directive beamforming require reliable estimation of the wireless propagation channel. However, mmWave channels are characterized by high variability…

Information Theory · Computer Science 2019-06-07 Evangelos Vlachos , George C. Alexandropoulos , John Thompson

In this work, the uplink channel estimation problem is considered for a millimeter wave (mmWave) multi-input multi-output (MIMO) system. It is well known that pilot overhead and computation complexity in estimating the channel increases…

Information Theory · Computer Science 2023-02-07 Rakesh Mundlamuri , Rajeev Gangula , Christo Kurisummoottil Thomas , Florian Kaltenberger , Walid Saad

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

In this paper, we address the message-passing receiver design for the 3D massive MIMO-OFDM systems. With the aid of the central limit argument and Taylor-series approximation, a computationally efficient receiver that performs joint channel…

Information Theory · Computer Science 2016-01-05 Sheng Wu , Linling Kuang , Zuyao Ni , Defeng , Huang , Qinghua Guo , Jianhua Lu

We consider channel estimation within pulse-shaping multicarrier multiple-input multiple-output (MIMO) systems transmitting over doubly selective MIMO channels. This setup includes MIMO orthogonal frequency-division multiplexing (MIMO-OFDM)…

Information Theory · Computer Science 2016-08-03 Daniel Eiwen , Georg Tauboeck , Franz Hlawatsch , Hans Georg Feichtinger

Accurate channel impulse response (CIR) is required for coherent detection and it can also help improve communication quality of service in next-generation wireless communication systems. One of the advanced systems is multi-input…

Information Theory · Computer Science 2013-02-07 Guan Gui , Wei Peng , Fumiyuki Adachi

In dual-functional communication-radar systems, common radio frequency (RF) signals are used for both communication and detection. For better compatibility with existing communication systems, we adopt multiple-input multiple-output (MIMO)…

Information Theory · Computer Science 2022-10-14 Chen Zhong , Chunrong Gu , Lan Tang , Yechao Bai , Mengting Lou
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