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This paper considers a Massive multiple-input multiple-output (MIMO) network, where the base station (BS) with a large number of antennas communicates with a smaller number of users. The signals are transmitted using frequency division…

Information Theory · Computer Science 2018-04-24 Manijeh Bashar , Alister G. Burr , Katsuyuki Haneda Kanapathippillai Cumanan

Millimeter wave multiple-input multiple-output (MIMO) communication systems must operate over sparse wireless links and will require large antenna arrays to provide high throughput. To achieve sufficient array gains, these systems must…

Signal Processing · Electrical Eng. & Systems 2019-04-17 Wei Zhang , Taejoon Kim , David J. Love

Reducing computational complexity of the modern wireless communication systems such as massive Multiple-Input Multiple-Output (MIMO) configurations is of utmost interest. In this paper, we propose new algorithm that can be used to…

Information Theory · Computer Science 2022-08-24 Seyed Hosein Mousavi , Jafar Pourrostam

In this paper we first derived the mathematical expression for lower bound spectral efficiency (SE) calculation for zero-force (ZF), and minimum mean square error (MMSE). Secondly, we calculated the simulation SE with three algorithms for…

Signal Processing · Electrical Eng. & Systems 2019-02-14 Tasher Ali Sheikh , Joyatri Bora , Md. Anwar Hussain

On the time-varying channel estimation, the traditional downlink (DL) channel restoration schemes usually require the reconstruction for the covariance of downlink process noise vector, which is dependent on DL channel covariance matrix…

Information Theory · Computer Science 2019-05-08 Muye Li , Shun Zhang , Nan Zhao , Weile Zhang , Xianbin Wang

The increasing deployment of massive active antenna arrays in low Earth orbit (LEO) satellites necessitates computationally efficient and adaptive precoding techniques to mitigate dynamic channel variations and enhance spectral efficiency.…

Signal Processing · Electrical Eng. & Systems 2025-12-19 Mohammad Momani , Thomas Delamotte , Andreas Knopp

We propose a method for channel training and precoding in FDD massive MIMO based on deep neural networks (DNNs), exploiting Downlink (DL) channel covariance knowledge. The DNN is optimized to maximize the DL multi-user sum-rate, by…

Information Theory · Computer Science 2023-03-21 Yi Song , Tianyu Yang , Mahdi Barzegar Khalilsarai , Giuseppe Caire

We consider the problem of downlink training and channel estimation in frequency division duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large number of antennas serves a number of single-antenna users…

Information Theory · Computer Science 2016-08-01 Jun Fang , Xingjian Li , Hongbin Li , Feifei Gao

Rate splitting (RS) is a potentially powerful and flexible technique for multi-antenna downlink transmission. In this paper, we address several technical challenges towards its practical implementation for beyond 5G systems. To this end, we…

Information Theory · Computer Science 2020-02-19 Zheng Li , Chencheng Ye , Ying Cui , Sheng Yang , Shlomo Shamai

In this work, we address the problem of channel estimation and precoding / combining for the so-called hybrid millimeter wave (mmWave) MIMO architecture. Our proposed channel estimation scheme exploits channel reciprocity in TDD MIMO…

Information Theory · Computer Science 2016-11-15 Hadi Ghauch , Mats Bengtsson , Taejoon Kim , Mikael Skoglund

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

Precoding is a method of compensating the channel at the transmitter. This work presents a novel method of data detection in turbo coded single user massive multiple input multiple output (MIMO) systems using precoding. We show via computer…

Information Theory · Computer Science 2020-08-03 K. Vasudevan , Gyanesh Kumar Pathak , A. Phani Kumar Reddy

In this paper, the downlink of a multi-cell massive MIMO system is considered where the channel state information (CSI) is estimated via pilot symbols that are orthogonal in a cell but re-used in other cells. Re-using the pilots, however,…

Information Theory · Computer Science 2021-12-21 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran , Hideki Ochiai

While more and more antennas are integrated into single mobile user equipment to increase communication quality and throughput, the number of antennas used for transmission is commonly restricted due to the concerns on hardware complexity…

Networking and Internet Architecture · Computer Science 2019-02-12 Aleksei Fedorov , Haibo Zhang , Galina Sidorenko , Bo Yang

In this paper, we study the beamforming design problem in frequency-division duplexing (FDD) downlink massive MIMO systems, where instantaneous channel state information (CSI) is assumed to be unavailable at the base station (BS). We…

Information Theory · Computer Science 2020-03-09 Hang Liu , Xiaojun Yuan , Ying Jun , Zhang

This paper compares two important downlink multicell interference mitigation techniques, namely, large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. We consider a cooperative wireless cellular system operating in…

Information Theory · Computer Science 2014-07-23 Kianoush Hosseini , Wei Yu , Raviraj S. Adve

Dimension reduction is often needed in the area of data mining. The goal of these methods is to map the given high-dimensional data into a low-dimensional space preserving certain properties of the initial data. There are two kinds of…

Numerical Analysis · Mathematics 2015-03-23 Yanlai Chen

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

Information Theory · Computer Science 2017-04-12 Song-Nam Hong , Seonho Kim , Namyoon Lee

Time Divison Duplex (TDD) wireless communication systems are inherently bidirectional, which facilitates exploiting channel reciprocity for pilot based channel estimation of both uplink and downlink. However, there exists a gross asymmetry…

Signal Processing · Electrical Eng. & Systems 2020-07-23 Arun Kumar Miryala , Irina Merin Baby , Kumar Appaiah , Sibi Raj B. Pillai

In this paper, a practical precoding method for the downlink of filter bank multicarrier-based (FBMC-based) massive multiple-input multiple-output (MIMO) is developed. The proposed method includes a two-stage precoder consisting of a…

Signal Processing · Electrical Eng. & Systems 2022-01-27 Hamed Hosseiny , Arman Farhang , Behrouz Farhang-Boroujeny
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