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The use of low-resolution digital-to-analog and analog-to-digital converters (DACs and ADCs) significantly benefits energy efficiency (EE) at the cost of high quantization noise in implementing massive multiple-input multiple-output (MIMO)…

Signal Processing · Electrical Eng. & Systems 2021-08-16 Jinseok Choi , Jeonghun Park , Namyoon Lee

Cell-free massive multiple-input multiple-output (MIMO) systems, leveraging tight cooperation among wireless access points, exhibit remarkable signal enhancement and interference suppression capabilities, demonstrating significant…

Signal Processing · Electrical Eng. & Systems 2024-10-10 Peng Jiang , Jiafei Fu , Pengcheng Zhu , Yan Wang , Jiangzhou Wang , Xiaohu You

This paper proposes a new transmission strategy for the multiuser massive multiple-input multiple-output (MIMO) systems, including uplink/downlink channel estimation and user scheduling for data transmission. A discrete Fourier transform…

Information Theory · Computer Science 2016-01-12 Hongxiang Xie , Feifei Gao , Shun Zhang , Shi Jin

We consider a heterogeneous cellular network (HetNet) where a macrocell tier with a large antenna array base station (BS) is overlaid with a dense tier of small cells (SCs). We investigate the potential benefits of incorporating a massive…

Information Theory · Computer Science 2016-11-17 Marios Kountouris , Nikolaos Pappas

We consider a practical spatially correlated reconfigurable intelligent surface (RIS)-aided cell-free (CF) massive multiple-input-multiple-output (mMIMO) system with multi-antenna access points (APs) over spatially correlated Rician fading…

Information Theory · Computer Science 2022-09-29 Enyu Shi , Jiayi Zhang , Zhe Wang , Derrick Wing Kwan Ng , Bo Ai

With the goal of enabling ultrareliable and low-latency wireless communications for industrial internet of things (IIoT), this paper studies the use of energy-based modulations in noncoherent massive single-input multiple-output (SIMO)…

Information Theory · Computer Science 2024-06-19 Marc Vilà-Insa , Aniol Martí , Jaume Riba , Meritxell Lamarca

In this paper, we propose a novel method for efficient implementation of a massive Multiple-Input Multiple-Output (massive MIMO) system with Frequency Division Duplexing (FDD) operation. Our main objective is to reduce the large overhead…

Information Theory · Computer Science 2017-10-24 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

We consider wireless communication systems with compact planar arrays having densely spaced antenna elements in conjunction with one-bit analog-to-digital and digital-to-analog converters (ADCs/DACs). We provide closed-form expressions for…

Information Theory · Computer Science 2020-12-07 Amine Mezghani , Faouzi Bellili , Robert W. Heath,

We consider a multi-cell massive MIMO system where a time-division duplex protocol is used to estimate the channel state information via uplink pilots. When maximum ratio combining (MRC) is used at the BSs, the re-use of pilots across cells…

Information Theory · Computer Science 2019-11-26 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran

A comparative resource allocation analysis in terms of received bits-per-antenna spectral efficiency (SE) and energy efficiency (EE) in downlink (DL) single-cell massive multiple-input multiple-output (mMIMO) and non-orthogonal multiple…

Information Theory · Computer Science 2023-01-10 Thiago Alves Bruza Alves , Taufik Abrão

We investigate energy efficiency (EE) optimization for single-cell massive multiple-input multiple-output (MIMO) downlink transmission with only statistical channel state information (CSI) available at the base station. We first show that…

Information Theory · Computer Science 2020-04-14 Li You , Jiayuan Xiong , Xinping Yi , Jue Wang , Wenjin Wang , Xiqi Gao

Channel measurements show that significant spatially non-wide-sense-stationary characteristics rise in massive MIMO channels. Notable parameter variations are experienced along the base station array, such as the average received energy at…

Information Theory · Computer Science 2016-11-15 Xueru Li , Shidong Zhou , Emil Björnson , Jing Wang

We study downlink (DL) channel estimation in a multi-cell Massive multiple-input multiple-output (MIMO) system operating in a time-division duplex. The users must know their effective channel gains to decode their received DL data signals.…

Information Theory · Computer Science 2021-09-07 Amin Ghazanfari , Trinh Van Chien , Emil Björnson , Erik G. Larsson

This paper considers channel estimation and achievable rates for the uplink of a massive multiple-input multiple-output (MIMO) system where the base station is equipped with one-bit analog-to-digital converters (ADCs). By rewriting the…

Information Theory · Computer Science 2016-11-15 Yongzhi Li , Cheng Tao , Liu Liu , Gonzalo Seco-Granados , A. Lee Swindlehurst

To improve the cellular energy efficiency, without sacrificing quality-of-service (QoS) at the users, the network topology must be densified to enable higher spatial reuse. We analyze a combination of two densification approaches, namely…

Information Theory · Computer Science 2013-10-22 Emil Björnson , Marios Kountouris , Mérouane Debbah

This paper investigates the capacity scaling of multicell massive MIMO systems in the presence of spatially correlated fading. In particular, we focus on the strong spatial correlation regimes where the covariance matrix of each user…

Information Theory · Computer Science 2019-12-10 Junyoung Nam , Giuseppe Caire , Merouane Debbah , H. Vincent Poor

Channel state information (CSI) provided by limited feedback channel can be utilized to increase the system throughput. However, in multiple input multiple output (MIMO) systems, the signaling overhead realizing this CSI feedback can be…

Information Theory · Computer Science 2013-06-18 Mingxin Zhou , Leiming Zhang , Lingyang Song , Merouane Debbah

Massive multiple-input multiple-output (MIMO) has the potential to substantially improve the spectral efficiency, robustness and coverage of mobile networks. However, such potential is limited by hardware cost and power consumption…

Information Theory · Computer Science 2018-03-14 Mingjie Shao , Qiang Li , Wing-Kin Ma

Massive multiple-input multiple-output (MIMO) has enabled substantial spatial multiplexing and array gains in real-world systems, while distributed MIMO (D-MIMO) improves macro-diversity over wide areas at the cost of deployment complexity.…

Signal Processing · Electrical Eng. & Systems 2026-03-30 Hiroki Iimori , Yuto Hama

This paper considers the jointly optimal pilot and data power allocation in single cell uplink massive MIMO systems. A closed form solution for the optimal length of the training interval is derived. Using the spectral efficiency (SE) as…

Information Theory · Computer Science 2026-04-28 Hei Victor Cheng , Emil Björnson , Erik G. Larsson
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