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In this paper, we propose network massive multiple- input multiple-output (MIMO) systems, where three radio units (RUs) connected via one digital unit (DU) support multiple user equipments (UEs) at a cell-boundary through the same radio…

Information Theory · Computer Science 2012-09-20 Changwoo Lee , Chan-Byoung Chae , Taehyung Kim , Sooyong Choi , Juho Lee

With the evolution of multiple-input multiple-output (MIMO) technology toward extremely large (XL) MIMO systems comprising hundreds of, or more, antennas, this work investigates scalable and fronthaul-efficient reception design for the…

Signal Processing · Electrical Eng. & Systems 2026-04-24 Dogon Kim , Hyunmin Noh , Seok-Hwan Park

How to meet the demand for increasing number of users, higher data rates, and stringent quality-of-service (QoS) in the beyond fifth-generation (B5G) networks? Cell-free massive multiple-input multiple-output (MIMO) is considered as a…

Signal Processing · Electrical Eng. & Systems 2020-06-19 Shuaifei Chen , Jiayi Zhang , Emil Björnson , Jing Zhang , Bo Ai

Linear precoding is a relatively simple method of MIMO signaling that can also be optimal in certain special cases. This paper is dedicated to high-SNR analysis of MIMO linear precoding. The Diversity-Multiplexing Tradeoff (DMT) of a number…

Information Theory · Computer Science 2012-02-27 Ahmed Hesham Mehana , Aria Nosratinia

In this paper, we consider the precoder design for an under-loaded or critically loaded downlink multi-user multiple-input multiple-output (MU-MIMO) communication system. We propose novel precoding and decoding schemes which enhance system…

Information Theory · Computer Science 2022-05-03 Aravindh Krishnamoorthy , Robert Schober

Signal-to-leakage-and-noise ratio (SLNR) is a promising criterion for linear precoder design in multi-user (MU) multiple-input multiple-output (MIMO) systems. It decouples the precoder design problem and makes closed-form solution…

Information Theory · Computer Science 2010-08-05 Peng Cheng , Meixia Tao , Wenjun Zhang

In this paper, we investigate a cell-free massive multiple-input multiple-output system with both access points and user equipments equipped with multiple antennas over the Weichselberger Rayleigh fading channel. We study the uplink…

Information Theory · Computer Science 2023-01-09 Zhe Wang , Jiayi Zhang , Hien Quoc Ngo , Bo Ai , Mérouane Debbah

By processing in the frequency domain (FD), massive MIMO systems can approach the theoretical per-user capacity using a single carrier modulation (SCM) waveform with a cyclic prefix. Minimum mean squared error (MMSE) detection and zero…

Signal Processing · Electrical Eng. & Systems 2021-03-16 Brent A. Kenney , Arslan J. Majid , Hussein Moradi , Behrouz Farhang-Boroujeny

In this letter, we investigate the downlink performance of massive multiple-input multiple-output (MIMO) systems where the base station is equipped with one-bit analogto-digital/digital-to-analog converters (ADC/DACs). Considering…

Information Theory · Computer Science 2017-02-13 Yongzhi Li , Cheng Tao , A. Lee Swindlehurst , Amine Mezghani , Liu Liu

For a massive multiple-input multiple-output (MIMO) system, restricting the number of RF chains to far less than the number of antenna elements can significantly reduce the implementation cost compared to the full complexity RF chain…

Information Theory · Computer Science 2015-11-17 Weiheng Ni , Xiaodai Dong

Precoding design based on weighted sum-rate (WSR) maximization is a fundamental problem in downlink multi-user multiple-input multiple-output (MU-MIMO) systems. While the weighted minimum mean-square error (WMMSE) algorithm is a standard…

Signal Processing · Electrical Eng. & Systems 2025-10-24 Xi Gao , Akang Wang , Junkai Zhang , Qihong Duan , Jiang Xue

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

The high energy consumption of massive multi-input multi-out (MIMO) system has become a prominent problem in the millimeter wave(mm-Wave) communication scenario. The hybrid precoding technology greatly reduces the number of radio…

Signal Processing · Electrical Eng. & Systems 2019-08-02 Kai Chen , Jing Yang , Xiaohu Ge , Yonghui Li

In this paper, we consider the amplify-and-forward relay networks in mmWave systems and propose a hybrid precoder/combiner design approach. The phase-only RF precoding/combining matrices are first designed to support multi-stream…

Information Theory · Computer Science 2019-11-01 Lisi Jiang , Hamid Jafarkhani

Accurate precoding in massive multiple-input multiple-output (MIMO) frequency-division duplexing (FDD) systems relies on efficient channel state information (CSI) acquisition. End-to-end learning frameworks improve performance by jointly…

Signal Processing · Electrical Eng. & Systems 2026-01-15 Weibo Wen , Shijian Gao , Haotian Zhang , Xiang Cheng , Liuqing Yang

Integrated sensing and communication (ISAC) is a very promising technology designed to provide both high rate communication capabilities and sensing capabilities. However, in Massive Multi User Multiple-Input Multiple-Output (Massive MU…

Information Theory · Computer Science 2024-10-22 Jun Zhu , Yin Xu , Dazhi He , Haoyang Li , YunFeng Guan , Wenjun Zhang

This paper studies the coherent and non-coherent multiuser multiple-input multiple-output (MU-MIMO) uplink system in the finite blocklength regime. The i.i.d. Gaussian codebook is assumed for each user. To be more specific, the BS first…

Information Theory · Computer Science 2022-10-04 Junjuan Feng , Hien Quoc Ngo , Michail Matthaiou

The increasingly demanding objectives for next generation wireless communications have spurred recent research activities on multi-antenna transceiver hardware architectures and relevant intelligent communication schemes. Among them belong…

Information Theory · Computer Science 2022-05-18 George C. Alexandropoulos , Md Atiqul Islam , Besma Smida

This work studies a multi-cell one-bit massive multiple-input multiple-output (MIMO) system that employs one-bit analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) at each base station (BS). We utilize Bussgang…

Information Theory · Computer Science 2023-12-27 Qurrat-Ul-Ain Nadeem , Anas Chaaban

We propose a low-complexity transmission strategy in multi-user multiple-input multiple-output downlink systems. The adaptive strategy adjusts the precoding methods, denoted as the transmission mode, to improve the system sum rates while…

Information Theory · Computer Science 2014-03-19 Haijing Liu , Hui Gao , Anzhong Hu , Tiejun Lv
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