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Extremely large-scale multiple-input-multipleoutput (XL-MIMO) has been reviewed as a promising technology for future sixth-generation (6G) networks to achieve higher performance. In practice, various linear precoding schemes, such as…

Information Theory · Computer Science 2023-05-24 Bokai Xu , Jiayi Zhang , Jiaxun Li , Huahua Xiao , Bo Ai

This paper focuses on the analysis and optimization of a class of linear one-bit precoding schemes for a downlink massive MIMO system under Rayleigh fading channels. The considered class of linear one-bit precoding is fairly general,…

Information Theory · Computer Science 2023-06-28 Zheyu Wu , Junjie Ma , Ya-Feng Liu , A. Lee Swindlehurst

This paper presents a robust precoder design for resilient cell-free massive MIMO (CF-mMIMO) systems that minimizes the weighted sum of desired signal mean square error (MSE) and residual interference leakage power under a total transmit…

Information Theory · Computer Science 2025-12-02 Saeed Mashdour , André R. Flores , Rodrigo C. de Lamare

Massive multiple input multiple output (MIMO) systems are typically designed under the assumption of linear power amplifiers (PAs). However, PAs are typically most energy-efficient when operating close to their saturation point, where they…

Machine Learning · Computer Science 2022-10-14 Thomas Feys , Xavier Mestre , François Rottenberg

In this paper, we introduce the novel use of linear spatial precoding based on fixed and known parameters of multiple-input multiple-output (MIMO) channels to improve the performance of space-time coded MIMO systems. We derive linear…

Information Theory · Computer Science 2007-07-13 Tharaka A. Lamahewa , Rodney A. Kennedy , Thushara D. Abhayapala , Van K. Nguyen

In this paper, we investigate a coverage extension scheme based on orthogonal random precoding (ORP) for the downlink of massive multiple-input multiple-output (MIMO) systems. In this scheme, a precoding matrix consisting of orthogonal…

Information Theory · Computer Science 2017-01-12 Nhan Thanh Nguyen , Kyungchun Lee

Precoding techniques are key to dealing with multiuser interference in the downlink of cell-free (CF) multiple-input multiple-output systems. However, these techniques rely on accurate estimates of the channel state information at the…

Information Theory · Computer Science 2024-07-09 A. Flores , R. de Lamare

Massive multi-input multiple-out (MIMO) is a key ingredient in improving the spectral efficiencies for next-generation cellular systems. Thanks to the channel reciprocity, in time-division-duplexing mode, each base station (BS) can acquire…

Signal Processing · Electrical Eng. & Systems 2021-07-30 Deokhwan Han , Namyoon Lee

Cell-free (CF) massive multiple-input multiple-output (mMIMO) and reconfigurable intelligent surface (RIS) are two advanced transceiver technologies for realizing future sixth-generation (6G) networks. In this paper, we investigate the…

Information Theory · Computer Science 2024-11-19 Enyu Shi , Jiayi Zhang , Ziheng Liu , Yiyang Zhu , Chau Yuen , Derrick Wing Kwan Ng , Marco Di Renzo , Bo Ai

Massive MIMO (Multiple-Input Multiple-Output) is a key enabler for 5G and future wireless systems, boosting channel capacity, energy efficiency, and spectral efficiency. However, high power consumption and hardware costs of…

Optimization and Control · Mathematics 2025-12-08 Jie Zhang , Huifu Xu

Wireless Power Transfer (WPT) is expected to be a technology reshaping the landscape of low-power applications such as the Internet of Things, Radio Frequency identification (RFID) networks, etc. Although there has been some progress…

Information Theory · Computer Science 2017-10-11 Yang Huang , Bruno Clerckx

This paper addresses joint transceiver and relay design for a wireless multiple-input-multiple-output (MIMO) switching scheme that enables data exchange among multiple users. Here, a multi-antenna relay linearly precodes the received…

Information Theory · Computer Science 2016-11-18 Fanggang Wang , Xiaojun Yuan , Soung Chang Liew , Dongning Guo

Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a promising technology for the future sixth-generation (6G) networks to achieve higher performance. In practice, various linear precoding schemes, such as zero-forcing (ZF)…

Information Theory · Computer Science 2023-02-06 Bokai Xu , Zhe Wang , Huahua Xiao , Jiayi Zhang , Bo Ai , Derrick Wing Kwan Ng

Cell-free massive multiple-input multiple-output (MIMO) provides more uniform spectral efficiency (SE) for users (UEs) than cellular technology. The main challenge to achieve the benefits of cell-free massive MIMO is to realize signal…

Information Theory · Computer Science 2022-03-22 Jiayi Zhang , Jing Zhang , Emil Björnson , Bo Ai

Fully digital massive MIMO systems with large numbers (1000+) of antennas offer dramatically increased capacity gains from spatial multiplexing and beamforming. Designing digital receivers that can scale to these array dimensions presents…

Signal Processing · Electrical Eng. & Systems 2026-04-23 Ali Rasteh , Amirreza Kiani , Marco Mezzavilla , Sundeep Rangan

The focus of this paper is on multi-user MIMO transmissions for millimeter wave systems with a hybrid precoding architecture at the base-station. To enable multi-user transmissions, the base-station uses a cell-specific codebook of…

Information Theory · Computer Science 2018-07-04 Miguel R. Castellanos , Vasanthan Raghavan , Jung H. Ryu , Ozge H. Koymen , Junyi Li , David J. Love , Borja Peleato

We investigate the weighted sum-rate (WSR) maximization linear precoder design for massive multiple-input multiple-output (MIMO) downlink. We consider a single-cell system with multiple users and propose a unified matrix manifold…

Information Theory · Computer Science 2024-04-12 Rui Sun , Chen Wang , An-An Lu , Xiqi Gao , Xiang-Gen Xia

In this article, the adoption and performance of a constant envelope (CE) type spatial precoder is addressed in large-scale multiuser MIMO based cellular network. We first formulate an efficient computing solution to obtain the antenna…

Signal Processing · Electrical Eng. & Systems 2018-04-09 Alberto Brihuega , Lauri Anttila , Mikko Valkama

This paper considers pilot-based channel estimation in large-scale multiple-input multiple-output (MIMO) communication systems, also known as "massive MIMO". Unlike previous works on this topic, which mainly considered the impact of…

Information Theory · Computer Science 2013-07-18 Nafiseh Shariati , Emil Björnson , Mats Bengtsson , Mérouane Debbah

Linear precoding techniques can achieve near- optimal capacity due to the special channel property in down- link massive MIMO systems, but involve high complexity since complicated matrix inversion of large size is required. In this paper,…

Information Theory · Computer Science 2014-11-18 Linglong Dai , Xinyu Gao , Shuangfeng Han , Chih-Lin I , Zhaocheng Wang