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Related papers: Quantized Precoding for Massive MU-MIMO

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This paper studies the optimal bit allocation for shape-gain vector quantization of wireless channels in multiuser (MU) multiple-input multiple-output (MIMO) downlink systems based on linear precoding. Our design minimizes the mean…

Information Theory · Computer Science 2011-11-30 Muhammad Nazmul Islam , Raviraj Adve , Behrouz Khoshnevis

Massive multi-user multiple-input multiple-output (MU-MIMO) systems enable high spatial resolution, high spectral efficiency, and improved link reliability compared to traditional MIMO systems due to the large number of antenna elements…

Signal Processing · Electrical Eng. & Systems 2024-07-19 Brikena Kaziu , Nikita Shanin , Danilo Spano , Li Wang , Wolfgang Gerstacker , Robert Schober

The deployment of large-scale antenna arrays for cellular base stations (BSs), termed as `Massive MIMO', has been a key enabler for meeting the ever-increasing capacity requirement for 5G communication systems and beyond. Despite their…

Information Theory · Computer Science 2024-10-30 Ang Li , Christos Masouros , A. Lee Swindlehurst , Wei Yu

We introduce a framework for linear precoder design over a massive multiple-input multiple-output downlink system in the presence of nonlinear power amplifiers (PAs). By studying the spatial characteristics of the distortion, we demonstrate…

Information Theory · Computer Science 2021-11-16 Sina Rezaei Aghdam , Sven Jacobsson , Ulf Gustavsson , Giuseppe Durisi , Christoph Studer , Thomas Eriksson

This paper investigates an uplink multiuser massive multiple-input multiple-output (MIMO) system with one-bit analog-to-digital converters (ADCs), in which $K$ users with a single-antenna communicate with one base station (BS) with $n_r$…

Information Theory · Computer Science 2017-02-03 Seonho Kim , Namyoon Lee , Songnam Hong

We consider a fully digital massive multiple-input multiple-output architecture with low-resolution analog-to-digital/digital-to-analog converters (ADCs/DACs) at the base station (BS) and analyze the performance trade-off between the number…

Information Theory · Computer Science 2021-12-06 Italo Atzeni , Antti Tölli , Giuseppe Durisi

Precoding design for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems is a fundamental problem. In this paper, we aim to maximize the weighted sum rate (WSR) while considering both quality-of-service (QoS)…

Signal Processing · Electrical Eng. & Systems 2023-06-06 Kaiyi Chi , Yingzhi Huang , Qianqian Yang , Zhaohui Yang , Zhaoyang Zhang

Massive multiuser (MU) multiple-input multiple-output (MIMO) promises significant improvements in spectral efficiency compared to small-scale MIMO. Typical massive MU-MIMO base-station (BS) designs rely on centralized linear data detectors…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-26 Kaipeng Li , Oscar Castaneda , Charles Jeon , Joseph R. Cavallaro , Christoph Studer

Massive multi-user multiple-input multiple-output (MU-MIMO) enables significant gains in spectral efficiency and link reliability compared to conventional small-scale MIMO technology. Furthermore, linear precoders, e.g., using zero forcing…

Information Theory · Computer Science 2018-05-01 Kaipeng Li , Charles Jeon , Joseph R. Cavallaro , Christoph Studer

Having lower quantization resolution, has been introduced in the literature, as a solution to reduce the power consumption of massive MIMO and millimeter wave MIMO systems. In this paper, we analyze bit error rate (BER) performance of…

Signal Processing · Electrical Eng. & Systems 2018-04-20 Azad Azizzadeh , Reza Mohammadkhani , Seyed Vahab Al-Din Makki , Emil Björnson

Massive multiple-input multiple-output (MIMO) is promising for low earth orbit (LEO) satellite communications due to the potential in enhancing the spectral efficiency. However, the conventional fully digital precoding architectures might…

Information Theory · Computer Science 2022-08-16 Li You , Xiaoyu Qiang , Ke-Xin Li , Christos G. Tsinos , Wenjin Wang , Xiqi Gao , Björn Ottersten

Low-resolution analog-to-digital converters (ADCs) are promising for reducing energy consumption and costs of multiuser multiple-input multiple-output (MIMO) systems with many antennas. We propose low-resolution multiuser MIMO receivers…

Signal Processing · Electrical Eng. & Systems 2022-11-21 Ana Beatriz L. B. Fernandes , Zhichao Shao , Lukas T. N. Landau , Rodrigo C. de Lamare

The use of low-resolution digital-to-analog converters (DACs) for transmit precoding provides crucial energy efficiency advantage for massive multiple-input multiple-output (MIMO) implementation. This paper formulates a quadrature amplitude…

Information Theory · Computer Science 2018-07-04 Foad Sohrabi , Ya-Feng Liu , Wei Yu

This paper presents an energy-efficient downlink precoding scheme with the objective of maximizing system energy efficiency in a multi-cell massive MIMO system. The proposed precoding design jointly considers the issues of power control,…

Networking and Internet Architecture · Computer Science 2018-12-27 Shuai Zhang , Lu Liu , Yu Cheng , Xianghui Cao , Sheng Zhou , Zhisheng Niu , Hangguan Shan

In this paper, the design of robust linear precoders for the massive multi-input multi-output (MIMO) downlink with imperfect channel state information (CSI) is investigated. The imperfect CSI for each UE obtained at the BS is modeled as…

Information Theory · Computer Science 2019-04-23 An-An Lu , Xiqi Gao , Wen Zhong , Chengshan Xiao , Xin Meng

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

This paper considers signal detection in massive multiple-input multiple-output (MIMO) systems with general additive hardware impairments and one-bit quantization. First, we present the quantization-unaware and Bussgang decomposition-based…

Signal Processing · Electrical Eng. & Systems 2020-02-06 Özlem Tugfe Demir , Emil Björnson

It is known that the estimated energy consumption of digital-to analog converters (DACs) is around 30\% of the energy consumed by analog-to-digital converters (ADCs) keeping fixed the sampling rate and bit resolution. Assuming that…

Information Theory · Computer Science 2020-02-26 S. B. Pinto , R. C. de Lamare

In this paper, we investigate the robust linear precoder design for three dimensional (3D) massive multi-input multi-output (MIMO) downlink with uniform planar array (UPA) and imperfect channel state information (CSI). In practical massive…

Information Theory · Computer Science 2022-06-17 An-An Lu , Xiqi Gao , Chengshan Xiao

In this paper, we consider massive multiple-input-multiple-output (MIMO) communication systems with a uniform planar array (UPA) at the base station (BS) and investigate the downlink precoding with imperfect channel state information (CSI).…

Information Theory · Computer Science 2020-05-28 Junchao Shi , Wenjin Wang , Xinping Yi , Xiqi Gao , Geoffrey Ye Li