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Multiple-input multiple-output (MIMO) systems greatly increase the overall throughput of wireless systems since they are capable of transmitting multiple streams employing the same time-frequency resources. However, this gain requires an…

Information Theory · Computer Science 2022-02-15 A. Flores , R. C. de Lamare

Hybrid precoding is a cost-effective approach to support directional transmissions for millimeter wave (mmWave) communications. While existing works on hybrid precoding mainly focus on single-user single-carrier transmission, in practice…

Information Theory · Computer Science 2017-01-09 Xianghao Yu , Jun Zhang , Khaled B. Letaief

Millimeter wave (mmWave) massive MIMO can achieve orders of magnitude increase in spectral and energy efficiency, and it usually exploits the hybrid analog and digital precoding to overcome the serious signal attenuation induced by mmWave…

Information Theory · Computer Science 2016-04-01 Linglong Dai , Xinyu Gao , Jinguo Quan , Shuangfeng Han , Chih-Lin I

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

Cell-free Massive multiple-input multiple-output (MIMO) ensures ubiquitous communication at high spectral efficiency (SE) thanks to increased macro-diversity as compared cellular communications. However, system scalability and performance…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Marcus Karlsson , Emil Björnson , Erik G. Larsson

High Peak to Average Power Ratio (PAPR) of the transmitted signal is a critical problem in multicarrier modulation systems (MCM) such as Orthogonal Frequency Division Multiplexing (OFDM), and Multi-Carrier Code Division Multiple Access (MC…

Networking and Internet Architecture · Computer Science 2012-04-18 B. Sarala , D. S. Venkateswarulu , B. N. Bhandari

Massive multiple-input multiple-output (MIMO) is a promising technology for next generation wireless communication systems (5G). In this technology, Base Station (BS) is equipped with a large number of antennas. Employing high resolution…

Signal Processing · Electrical Eng. & Systems 2017-10-03 Azad Azizzadeh , Reza Mohammadkhani , Seyed Vahab Al-Din Makki

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 propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as \emph{cache-aided massive MIMO}, for multi-cell downlink transmission to multiple cache-enabled receivers.…

Information Theory · Computer Science 2022-04-12 Lin Xiang , Xiao Wei , Laura Cottatellucci , Robert Schober , Tao Jiang

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

Cell-free massive multiple-input multiple-output (CF mMIMO) systems serve the user equipments (UEs) by geographically distributed access points (APs) by means of joint transmission and reception. To limit the power consumption due to…

Signal Processing · Electrical Eng. & Systems 2023-04-25 Shuaifei Chen , Jiayi Zhang , Emil Björnson , Özlem Tuğfe Demir , Bo Ai

Remarkable research activities and major advances have been occurred over the past decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several transmission technologies and precoding techniques have been developed in order…

Information Theory · Computer Science 2016-11-16 Eduardo Castañeda , Adão Silva , Atílio Gameiro , Marios Kountouris

In this paper, we analyze the benefits of including downlink pilots in a cell-free massive MIMO system. We derive an approximate per-user achievable downlink rate for conjugate beamforming processing, which takes into account both uplink…

Information Theory · Computer Science 2019-09-10 Giovanni Interdonato , Hien Quoc Ngo , Erik G. Larsson , Pål Frenger

This paper investigates the joint power allocation and user association problem in multi-cell Massive MIMO (multiple-input multiple-output) downlink (DL) systems. The target is to minimize the total transmit power consumption when each user…

Information Theory · Computer Science 2016-07-08 Trinh Van Chien , Emil Björnson , Erik G. Larsson

In this paper, resource allocation for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) downlink networks with large numbers of base station antennas is studied. Assuming perfect channel state…

Information Theory · Computer Science 2012-11-16 Derrick Wing Kwan Ng , Robert Schober

Multi-user Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Output Multiple Output (MIMO) have been widely adopted to enhance the system throughput and combat the detrimental effects of wireless channels. Recently,…

Information Theory · Computer Science 2015-02-18 Yi Xu , Shiwen Mao , Xin Su

This paper introduces a new efficient autoprecoder (AP) based deep learning approach for massive multiple-input multiple-output (mMIMO) downlink systems in which the base station is equipped with a large number of antennas with…

Networking and Internet Architecture · Computer Science 2022-02-08 Xinying Cheng , Rafik Zayani , Marin Ferecatu , Nicolas Audebert

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

Even if massive multiple-input multiple-output (MIMO) can theoretically bring huge benefits, it incurs substantial hardware complexity and expensive hardware costs. To address these issues while maintaining the system performance…

Information Theory · Computer Science 2021-09-21 Xi Yang , Shi Jin , Geoffrey Ye Li , Xiao Li

Flat-fading channel models are usually invoked for analyzing the performance of massive spatial modulation multiple-input multiple-output (SM-MIMO) systems. However, in the context of broadband SM transmission, the severe…

Information Theory · Computer Science 2017-12-04 Yue Sun , Jintao Wang , Longzhuang He , Jian Song
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