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Massive multiple-input multiple-output (MIMO) systems use antenna arrays with a large number of antenna elements to serve many different users simultaneously. The large number of antennas in the system makes, however, the channel state…

Information Theory · Computer Science 2020-02-21 Alexis Decurninge , Luis G. Ordóñez , Maxime Guillaud

Massive MIMO has been regarded as one of the key technologies for 5G wireless networks, as it can significantly improve both the spectral efficiency and energy efficiency. The availability of high-dimensional channel side information (CSI)…

Information Theory · Computer Science 2015-05-05 Juei-Chin Shen , Jun Zhang , Kwang-Cheng Chen , Khaled B. Letaief

In conventional multiple-input multiple-output (MIMO) communication systems, the positions of antennas are fixed. To take full advantage of spatial degrees of freedom, a new technology called fluid antenna (FA) is proposed to obtain higher…

Information Theory · Computer Science 2024-01-10 Yuqi Ye , Li You , Jue Wang , Hao Xu , Kai-Kit Wong , Xiqi Gao

Classical antenna selection schemes require instantaneous channel state information (CSI). This leads to high signaling overhead in the system. This work proposes a novel joint receive antenna selection and precoding scheme for multiuser…

Signal Processing · Electrical Eng. & Systems 2022-12-29 Chongjun Ouyang , Ali Bereyhi , Saba Asaad , Ralf R. Müller , Hongwen Yang

The accuracy of channel state information (CSI) acquisition directly affects the performance of millimeter wave (mmWave) communications. In this article, we provide an overview on CSI acquisition, including beam training and channel…

Signal Processing · Electrical Eng. & Systems 2022-03-15 Chenhao Qi , Peihao Dong , Wenyan Ma , Hua Zhang , Zaichen Zhang , Geoffrey Ye Li

This paper investigates an innovative movable antenna (MA)-enhanced multiple-input multiple-output (MIMO) system designed to enhance communication performance. We aim to maximize the energy efficiency (EE) under statistical channel state…

Information Theory · Computer Science 2025-01-22 Xintai Chen , Biqian Feng , Yongpeng Wu , Wenjun Zhang

Noncoherent communication is a promising paradigm for future wireless systems where acquiring accurate channel state information (CSI) is challenging or infeasible. It provides methods to bypass the need for explicit channel estimation in…

Information Theory · Computer Science 2025-05-30 Khac-Hoang Ngo , Diego Cuevas , Ruben de Miguel Gil , Victor Monzon Baeza , Ana Garcia Armada , Ignacio Santamaria

Massive multiple-input multiple-output (MIMO) system is promising in providing unprecedentedly high data rate. To achieve its full potential, the transceiver needs complete channel state information (CSI) to perform transmit/receive…

Information Theory · Computer Science 2022-02-08 Yu Zhang , Ahmed Alkhateeb , Pranav Madadi , Jeongho Jeon , Joonyoung Cho , Charlie Zhang

As a key technology to meet the ever-increasing data rate demand in beyond 5G and 6G communications, millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems have gained much attention recently.To make the most of…

Information Theory · Computer Science 2024-10-10 Hyungyu Ju , Seokhyun Jeong , Seungnyun Kim , Byungju Lee , Byonghyo Shim

This paper investigates a reconfigurable intelligent surface (RIS)-aided multi-user multiple-input multiple-output (MIMO) system by considering only the statistical channel state information (CSI) at the base station (BS). We aim to…

Information Theory · Computer Science 2021-12-23 Huan Zhang , Shaodan Ma , Zheng Shi , Xin Zhao , Guanghua Yang

Massive multiple-input multiple-output (mMIMO) regime reaps the benefits of spatial diversity and multiplexing gains, subject to precise channel state information (CSI) acquisition. In the current communication architecture, the downlink…

Information Theory · Computer Science 2022-08-26 Muhammad Karam Shehzad , Luca Rose , Stefan Wesemann , Mohamad Assaad , Syed Ali Hassan

This paper proposes a spatially common sparsity based adaptive channel estimation and feedback scheme for frequency division duplex based massive multi-input multi-output (MIMO) systems, which adapts training overhead and pilot design to…

Information Theory · Computer Science 2023-10-20 Zhen Gao , Linglong Dai , Zhaocheng Wang , Sheng Chen

Massive multiple-input multiple-output (MIMO) systems need to support massive connectivity for the application of the Internet of things (IoT). The overhead of channel state information (CSI) acquisition becomes a bottleneck in the system…

Information Theory · Computer Science 2017-07-31 Ruichen Deng , Zhiyuan Jiang , Sheng Zhou , Zhisheng Niu

The deployment of instantaneous CSI-based power control schemes necessitates computationally intensive signal processing operations, requiring substantial resources to handle real-time CSI updates and the associated overhead. Conversely,…

Information Theory · Computer Science 2025-05-08 Zahra Mobini , Hien Quoc Ngo

This paper investigates the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) systems with direct links, and the phase shifts of the RIS are designed based on the statistical channel…

Information Theory · Computer Science 2021-02-16 Kangda Zhi , Cunhua Pan , Hong Ren , Kezhi Wang

Massive MIMO (Multiple-Input Multiple-Output) is an advanced wireless communication technology, using a large number of antennas to improve the overall performance of the communication system in terms of capacity, spectral, and energy…

Information Theory · Computer Science 2025-01-06 Ferhat Ozgur Catak , Murat Kuzlu , Umit Cali

Channel covariance is emerging as a critical ingredient of the acquisition of instantaneous channel state information (CSI) in multi-user Massive MIMO systems operating in frequency division duplex (FDD) mode. In this context, channel…

Information Theory · Computer Science 2016-02-19 Alexis Decurninge , Maxime Guillaud , Dirk Slock

Future wireless multiple-input multiple-output (MIMO) communication systems will employ sub-6 GHz and millimeter wave (mmWave) frequency bands working cooperatively. Establishing a MIMO communication link usually relies on estimating…

Distributed massive MIMO is considered a key advancement for improving the performance of next-generation wireless telecommunication systems. However, its efficacy in scenarios involving user mobility is limited due to channel aging. To…

Information Theory · Computer Science 2024-10-16 Phillip Stephan , Florian Euchner , Stephan ten Brink

Motivated by the issue of inaccurate channel state information (CSI) at the base station (BS), which is commonly due to feedback/processing delays and compression problems, in this paper, we introduce a scalable idea of adopting artificial…

Signal Processing · Electrical Eng. & Systems 2021-04-02 Muhammad Karam Shehzad , Luca Rose , Mohamad Assaad
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