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Related papers: Downlink Precoding for Massive MIMO Systems Exploi…

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Dealing with nonlinear effects of the radio-frequency(RF) chain is a key issue in the realization of very large-scale multi-antenna (MIMO) systems. Achieving the remarkable gains possible with massive MIMO requires that the signal…

Information Theory · Computer Science 2021-06-29 Amine Mezghani , Daniel Plabst , Lee A. Swindlehurst , Inbar Fijalkow , Josef A. Nossek

This paper investigates downlink channel estimation in frequency-division duplex (FDD)-based massive multiple-input multiple-output (MIMO) systems. To reduce the overhead of downlink channel estimation and uplink feedback in FDD systems,…

Information Theory · Computer Science 2016-08-24 Yinsheng Liu , Yinjun Liu , Qimei Cui , Riku Jantti

In this work we investigate ultra-reliable low-latency massive multiple-input multiple-output (MIMO) communication links in vehicular scenarios, where coherence between uplink and downlink cannot be assumed. In such scenarios the channel…

Signal Processing · Electrical Eng. & Systems 2019-08-22 Thomas Zemen , David Loeschenbrand

In this correspondence, we propose a space domain index modulation (IM) scheme for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems. Instead of the most common approach where spatial bits select active receiver…

Signal Processing · Electrical Eng. & Systems 2020-07-23 Nuno Souto , Américo Correia

In conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency division duplexing (FDD), channel acquisition and precoder optimization processes have been designed separately although they are highly coupled.…

Information Theory · Computer Science 2022-09-22 Jeonghyeon Jang , Hoon Lee , Il-Min Kim , Inkyu Lee

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

We propose a novel linear minimum-mean-squared-error (MMSE) precoder design for a downlink (DL) massive multiple-input-multiple-output (MIMO) scenario. For economical and computational efficiency reasons low resolution 1-bit…

Information Theory · Computer Science 2017-06-28 Ovais Bin Usman , Hela Jedda , Amine Mezghani , Josef A. Nossek

This study proposes the construction of a transmit signal for large-scale antenna systems with cost-effective 1-bit digital-to-analog converters in the downlink. Under quadrature-amplitude-modulation constellations, it is still an open…

Information Theory · Computer Science 2021-06-02 Sungyeal Park , Yunseong Cho , Songnam Hong

This paper investigates the linear precoder design that maximizes the average mutual information of multiple-input multiple-output channels with finite-alphabet inputs and statistical channel state information known at the transmitter. This…

Information Theory · Computer Science 2011-09-07 Weiliang Zeng , Chengshan Xiao , Mingxi Wang , Jianhua Lu

Downlink precoding is considered for multi-path multi-input single-output channels where the base station uses orthogonal frequency-division multiplexing and low-resolution signaling. A quantized coordinate minimization (QCM) algorithm is…

Information Theory · Computer Science 2022-08-30 Andrei Stefan Nedelcu , Fabian Steiner , Gerhard Kramer

This paper investigates the design of precoders for single-user multiple-input multiple-output (MIMO) channels, and in particular for finite-alphabet signals. Based on an asymptotic expression for the mutual information of channels…

Information Theory · Computer Science 2017-04-18 Yongpeng Wu , Chao-Kai Wen , Derrick Wing Kwan Ng , Robert Schober , Angel Lozano

This letter presents a low-complexity hybrid precoding framework for multiuser multiple-input multiple-output (MIMO) systems by leveraging a low-dimensional subspace property. Under the low-dimensional subspace perspective, we first…

Signal Processing · Electrical Eng. & Systems 2025-12-09 Mintaek Oh , Jinseok Choi

The space limitation and the channel acquisition prevent Massive MIMO from being easily deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use of multi-polarized antennas can be an efficient solution to…

Information Theory · Computer Science 2015-01-13 Jaehyun Park , Bruno Clerckx

Massive multiuser multiple-input multiple-output (MU-MIMO) systems are expected to be the core technology in fifth-generation wireless systems because they significantly improve spectral efficiency. However, the requirement for a large…

Information Theory · Computer Science 2018-04-24 Chang-Jen Wang , Chao-Kai Wen , Shi Jin , Shang-Ho Tsai

Symbol-level precoding is a new paradigm for multiuser downlink systems which aims at creating constructive interference among the transmitted data streams. This can be enabled by designing the precoded signal of the multiantenna…

Information Theory · Computer Science 2017-04-12 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

In this paper, the performance of multi-user Multiple-Input Multiple-Output (MIMO) systems is evaluated in terms of SINR and capacity. We focus on the case of a downlink single-cell scenario where different precoders have been studied.…

Information Theory · Computer Science 2019-03-28 Mattia Rebato , Luca Rose , Michele Zorzi

Massive multiuser multiple-input multiple-output (MU-MIMO) has been the mainstream technology in fifth-generation wireless systems. To reduce high hardware costs and power consumption in massive MU-MIMO, low-resolution digital-to-analog…

Information Theory · Computer Science 2020-06-30 Hengtao He , Mengjiao Zhang , Shi Jin , Chao-Kai Wen , Geoffrey Ye Li

In this paper, the feasibility of a new downlink transmission mode in massive multi-input multi-output (MIMO) systems is investigated with two types of users, i.e., the users with only statistical channel state information (CSI) and the…

Information Theory · Computer Science 2017-12-01 Shuang Qiu , Da Chen , Daiming Qu , Kai Luo , Tao Jiang

The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-output (MU-MIMO) base station (BS). Using 1-bit DACs can…

Signal Processing · Electrical Eng. & Systems 2019-06-11 Lei Chu , Fei Wen , Lily Li , Robert Qiu

In this paper, we investigate the design of linear precoders for the multiple-input multiple-output (MIMO) multiple access channel (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and…

Information Theory · Computer Science 2016-11-15 Yongpeng Wu , Chao-Kai Wen , Chengshan Xiao , Xiqi Gao , Robert Schober