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In this paper, we consider a multiuser multiple-input multiple-output (MU-MIMO) communication system between a base station equipped with multiple antennas and multiple mobile users each equipped with a single antenna. The uplink scenario…

Information Theory · Computer Science 2014-09-23 Songtao Lu , Zhengdao Wang

We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the receiver (base station) has a large number of antennas. Specifically, we analyze achievable…

Information Theory · Computer Science 2013-11-07 Zhengdao Wang

In this paper, we consider massive multiple-input multiple-output (MIMO) systems for both downlink and uplink scenarios, where three radio units (RUs) connected via one digital unit (DU) support multiple user equipments (UEs) at the…

Information Theory · Computer Science 2016-11-17 Yeon-Geun Lim , Chan-Byoung Chae , Giuseppe Caire

In this paper, we analyze the achievable rate of the uplink of a single-cell multi-user distributed massive multiple-input-multiple-output (MIMO) system. The multiple users are equipped with single antenna and the base station (BS) is…

Information Theory · Computer Science 2016-11-17 Ang Yang , Yindi Jing , Chengwen Xing , Zesong Fei , Jingming Kuang

We consider the uplink of a multicell multiuser multiple-input multiple-output system where the channel experiences both small and large-scale fading. The data detection is done by using the linear zero-forcing technique, assuming the base…

Information Theory · Computer Science 2012-07-02 Hien Quoc Ngo , Michail Matthaiou , Trung Q. Duong , Erik G. Larsson

This paper investigates the uplink achievable rates of massive multiple-input multiple-output (MIMO) antenna systems in Ricean fading channels, using maximal-ratio combining (MRC) and zero-forcing (ZF) receivers, assuming perfect and…

Information Theory · Computer Science 2015-06-19 Qi Zhang , Shi Jin , Kai-Kit Wong , Hongbo Zhu , Michail Matthaiou

This paper considers an uplink cellular system, in which each base station (BS) is equipped with a large number of antennas to serve multiple single-antenna user equipments (UEs) simultaneously. Uplink training with pilot reusing is adopted…

Information Theory · Computer Science 2016-11-18 Ning Liang , Wenyi zhang , Cong Shen

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

Cell-Free Massive MIMO comprises a large number of distributed single-antenna access points (APs) serving a much smaller number of users. There is no partitioning into cells and each user is served by all APs. In this paper, the uplink…

Information Theory · Computer Science 2017-02-13 Elina Nayebi , Alexei Ashikhmin , Thomas L. Marzetta , Bhaskar D. Rao

In this letter, we derive an approximate analytical expression for the uplink achievable rate of a massive multi-input multi-output (MIMO) antenna system when finite precision analog-digital converters (ADCs) and the common maximal ratio…

Information Theory · Computer Science 2015-12-03 Li Fan , Shi Jin , Chao-Kai Wen , Haixia Zhang

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

Base stations with a large number of transmit antennas have the potential to serve a large number of users at high rates. However, the receiver processing in the uplink relies on channel estimates which are known to suffer from pilot…

Information Theory · Computer Science 2016-11-18 Narayanan Krishnan , Roy D. Yates , Narayan B. Mandayam

We analyze scheduling algorithms for multiuser communication systems with users having multiple antennas and linear receivers. When there is no feedback of channel information, we consider a common round robin scheduling algorithm, and…

Information Theory · Computer Science 2016-11-18 Raymond H. Y. Louie , Matthew R. McKay , Iain B. Collings

In this paper, we analyze the performance of the uplink communication of massive multi-cell multiple-input multiple-output (MIMO) systems under the effects of pilot contamination and delayed channels because of terminal mobility. The base…

Information Theory · Computer Science 2016-11-17 Anastasios K. Papazafeiropoulos , Hien Quoc Ngo , Tharm Ratnarajah

This paper seeks to determine the most efficient uplink technique for cell-free massive MIMO systems. Despite offering great advances, existing works suffer from fragmented methodologies and inconsistent assumptions (e.g., single- vs.…

Information Theory · Computer Science 2025-08-29 Wei Jiang , Hans D. Schotten

We consider the downlink of a single-cell multi-user MIMO system in which the base station makes use of $N$ antennas to communicate with $K$ single-antenna user equipments (UEs) randomly positioned in the coverage area. In particular, we…

Information Theory · Computer Science 2016-11-17 Luca Sanguinetti , Emil Bjornson , Merouane Debbah , Aris Moustakas

The present paper deals with an OFDM-based uplink within a multi-user MIMO (MU-MIMO) system where a massive MIMO approach is employed. In this context, the linear detectors Minimum Mean-Squared Error (MMSE), Zero Forcing (ZF) and Maximum…

In this paper, we study achievable degrees of freedom (DoF) of a multiple-input multiple-output (MIMO) multiway relay channel (mRC) where $K$ users, each equipped with $M$ antennas, exchange messages in a pairwise manner via a common…

Information Theory · Computer Science 2015-06-18 Rui Wang , Xiaojun Yuan

Massive multi-input multi-output (MIMO) can support high spectral efficiency (SE) with simple linear transceivers, and is expected to provide high energy efficiency (EE). In this paper, we analyze the EE of downlink multi-cell massive MIMO…

Information Theory · Computer Science 2015-05-28 Wenjia Liu , Shengqian Han , Chenyang Yang

This paper proposes a stochastic geometry framework to analyze the SINR and rate performance in a large-scale uplink massive MIMO network. Based on the model, expressions are derived for spatial average SINR distributions over user and base…

Information Theory · Computer Science 2016-04-05 Tianyang Bai , Robert W. Heath
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