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Related papers: Channel State Feedback Schemes for Multiuser MIMO-…

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Massive multiple-input multiple-output (MIMO) systems require downlink channel state information (CSI) at the base station (BS) to better utilize the available spatial diversity and multiplexing gains. However, in a frequency division…

Information Theory · Computer Science 2021-02-15 Mahdi Boloursaz Mashhadi , Qianqian Yang , Deniz Gunduz

We propose a generalized feedback model and compressive sensing based opportunistic feedback schemes for feedback resource reduction in MIMO Broadcast Channels under the assumption that both uplink and downlink channels undergo block…

Information Theory · Computer Science 2015-02-17 Syed Qaseem , Tareq Al-Naffouri , Mohammed Eltayeb , Hamid Reza Bahrami

Performing link adaptation in a multiantenna and multiuser system is challenging because of the coupling between precoding, user selection, spatial mode selection and use of limited feedback about the channel. The problem is exacerbated by…

Information Theory · Computer Science 2014-01-23 Alberto Rico-Alvarino , Robert W. Heath

We propose a generalized feedback model and compressive sensing based opportunistic feedback schemes for feedback resource reduction in MIMO Broadcast Channels under the assumption that both uplink and downlink channels undergo block…

Information Theory · Computer Science 2016-11-18 Syed T. Qaseem , Tareq Y. Al-Naffouri

In this correspondence, we propose a new receiver design for high-mobility orthogonal frequency division multiplexing (OFDM) downlink transmissions with a large-scale antenna array. The downlink signal experiences the challenging fast…

Information Theory · Computer Science 2017-05-19 Wei Guo , Weile Zhang , Pengcheng Mu , Feifei Gao

Massive Multiple-Input Multiple-Output (massive MIMO) is a variant of multi-user MIMO in which the number of antennas at each Base Station (BS) is very large and typically much larger than the number of users simultaneously served. Massive…

Information Theory · Computer Science 2017-08-16 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Giuseppe Caire

This paper addresses channel estimation and data equalization on frequency-selective 1-bit quantized Multiple Input-Multiple Output (MIMO) systems. No joint processing or Channel State Information is assumed at the transmitter, and…

Information Theory · Computer Science 2021-03-09 Javier García , Jawad Munir , Kilian Roth , Josef A. Nossek

We propose a versatile feedback scheme for both single- and multi-user multiple-input multiple-output (MIMO) frequency division duplex (FDD) systems. Particularly, we propose utilizing a Gaussian mixture model (GMM) with a reduced number of…

Information Theory · Computer Science 2023-11-29 Nurettin Turan , Benedikt Fesl , Michael Koller , Michael Joham , Wolfgang Utschick

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. However, receiver and transmitter channel state information is generally required. In…

Information Theory · Computer Science 2011-11-09 Nihar Jindal

On the time-varying channel estimation, the traditional downlink (DL) channel restoration schemes usually require the reconstruction for the covariance of downlink process noise vector, which is dependent on DL channel covariance matrix…

Information Theory · Computer Science 2019-05-08 Muye Li , Shun Zhang , Nan Zhao , Weile Zhang , Xianbin Wang

In frequency division duplex massive multiple-input multiple-output systems, downlink channel state information must be fed back within a limited uplink budget. While transform coding with Karhunen-Loeve transform and reverse water-filling…

Information Theory · Computer Science 2026-04-23 Youngmok Park , Bumsu Park , Namyoon Lee

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

We consider timing and frequency synchronization for the massive multiuser (MU) multiple-input multiple-output (MIMO) downlink where 1-bit digital-to-analog converters (DACs) are used at the base station (BS). We focus on the practically…

Information Theory · Computer Science 2019-05-21 Sven Jacobsson , Carl Lindquist , Giuseppe Durisi , Thomas Eriksson , Christoph Studer

Channel state information (CSI) provided by limited feedback channel can be utilized to increase the system throughput. However, in multiple input multiple output (MIMO) systems, the signaling overhead realizing this CSI feedback can be…

Information Theory · Computer Science 2013-06-18 Mingxin Zhou , Leiming Zhang , Lingyang Song , Merouane Debbah

The demand for high-speed mobile wireless communications is rapidly growing. Orthogonal Frequency Division Multiplexing (OFDM) technology promises to be a key technique for achieving the high data capacity and spectral efficiency…

Information Theory · Computer Science 2013-03-19 I. Pramanik , M. A. F. M. Rashidul Hasan , Rubaiyat Yasmin , M. Sakir Hossain , Ahmed Kamal S. K

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

It is well accepted that acquiring downlink channel state information in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems is challenging because of the large overhead in training and feedback. In this…

Information Theory · Computer Science 2022-05-18 Javad Mirzaei , Shahram ShahbazPanahi , Raviraj Adve , Navaneetha Gopal

In this paper, we propose a novel method for efficient implementation of a massive Multiple-Input Multiple-Output (massive MIMO) system with Frequency Division Duplexing (FDD) operation. Our main objective is to reduce the large overhead…

Information Theory · Computer Science 2017-10-24 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

Block diagonalization is a linear precoding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver such that no multi-user interference is experienced at any of…

Information Theory · Computer Science 2007-07-16 Niranjay Ravindran , Nihar Jindal

In this paper, a novel covariance-based channel feedback mechanism is investigated for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems. The concept capitalizes on the notion of user statistical…

Information Theory · Computer Science 2019-10-08 Shuang Qiu , David Gesbert , Da Chen , Tao Jiang