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In this paper, we investigate the downlink throughput performance of a massive multiple-input multiple-output (MIMO) system that employs superimposed pilots for channel estimation. The component of downlink (DL) interference that results…

信息论 · 计算机科学 2019-04-16 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera

In this paper, we consider a $n_t\times n_r$ multiple-input multiple-output (MIMO) channel subjected to block fading. Reliability (in terms of achieved diversity order) and rate (in number of symbols transmitted per channel use) are of…

信息论 · 计算机科学 2011-03-25 Biswajit Dutta , Somsubhra Barik , A. Chockalingam

In massive multiple-input multiple-output (MIMO) systems, achieving high spectral efficiency (SE) often requires advanced precoding algorithms whose complexity scales rapidly with the number of antennas, limiting practical deployment. In…

信号处理 · 电气工程与系统科学 2026-03-13 Seunghyeong Yoo , Mintaek Oh , Jeonghun Park , Namyoon Lee , Jinseok Choi

This paper investigates the spectral efficiency (SE) of multi-cell Massive Multi-Input Multi-Output (MIMO) using different channel models. Prior works have derived closed-form SE bounds and approximations for Gaussian distributed channels,…

信息论 · 计算机科学 2016-09-06 Trinh Van Chien , Emil Björnson , Erik G. Larsson

In this paper, we propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as cache-aided massive MIMO, for advanced downlink cellular communications. In addition to reaping the…

信号处理 · 电气工程与系统科学 2019-03-25 Xiao Wei , Lin Xiang , Laura Cottatellucci , Tao Jiang , Robert Schober

This paper introduces a joint optimization framework for user-centric beam selection and linear precoding (LP) design in a coordinated multiple-satellite (CoMSat) system, employing a Digital-Fourier-Transform-based (DFT) beamforming (BF)…

Next generation wireless networks aim at providing substantial improvements in spectral efficiency (SE) and energy efficiency (EE). Massive MIMO has been proved to be a viable technology to achieve these goals by spatially multiplexing…

信号处理 · 电气工程与系统科学 2017-09-25 Daniel Verenzuela , Emil Björnson , Luca Sanguinetti

We consider a massive MU-MIMO downlink time-division duplex system where a base station (BS) equipped with many antennas serves several single-antenna users in the same time-frequency resource. We assume that the BS uses linear precoding…

信息论 · 计算机科学 2013-10-08 Hien Quoc Ngo , Erik G. Larsson , Thomas L. Marzetta

This paper seeks an efficient algorithm for stochastic precoding to maximize the long-term average weighted sum rates throughout a multiple-input multiple-output (MIMO) network. Unlike many existing works that assume a particular…

信息论 · 计算机科学 2026-03-10 Wenyu Wang , Kaiming Shen

This paper introduces a practical precoding method for the downlink of Filter Bank Multicarrier-based (FBMC-based) massive multiple-input multiple-output (MIMO) systems. The proposed method comprises a two-stage precoder, consisting of a…

信号处理 · 电气工程与系统科学 2023-11-20 Hamed Hosseiny , Arman Farhang , Behrouz Farhang-Boroujeny

Although the benefits of precoding and combining of data signals are widely recognized, the potential of these techniques for pilot transmission is not fully understood. This is particularly relevant for multiuser multiple-input…

We consider a downlink multiuser multiple-input multiple output (MIMO) system employing regularized zero-forcing (RZF) precoding. We derive the asymptotic signal-to-leakage-plus-noise ratio (SLNR) as both the number of antennas and the…

信息论 · 计算机科学 2016-09-13 Sungwoo Park , Jeonghun Park , Ali Yazdan Panah , Robert W. Heath

We study the impact of phase noise on the downlink performance of a multi-user multiple-input multiple-output system, where the base station (BS) employs a large number of transmit antennas $M$. We consider a setup where the BS employs…

信息论 · 计算机科学 2015-01-23 R. Krishnan , M. R. Khanzadi , N. Krishnan , Y. Wu , A. Graell i Amat , T. Eriksson , R. Schober

In this letter, we introduce a novel pilot design approach that minimizes the total mean square errors of the minimum mean square error estimators of all base stations (BSs) subject to the transmit power constraints of individual users in…

信息论 · 计算机科学 2018-03-06 Hayder Al-Salihi , Trinh Van Chien , Tuan Anh Le , Mohammad Reza Nakhai

The use of channel output feedback to improve the reliability of fading channels has received scant attention in the literature. In most work on feedback for fading channels, only channel state information (CSI) feedback has been exploited…

信息论 · 计算机科学 2012-04-12 Mayur Agrawal , David J. Love , Venkataramanan Balakrishnan

Massive multi-input multiple-out (MIMO) is a key ingredient in improving the spectral efficiencies for next-generation cellular systems. Thanks to the channel reciprocity, in time-division-duplexing mode, each base station (BS) can acquire…

信号处理 · 电气工程与系统科学 2021-07-30 Deokhwan Han , Namyoon Lee

We propose a novel linear minimum-mean-squared-error (MMSE) precoder design for a downlink (DL) massive multiple-input-multiple-output (MIMO) scenario. For economical and computational efficiency reasons low resolution 1-bit…

信息论 · 计算机科学 2017-06-28 Ovais Bin Usman , Hela Jedda , Amine Mezghani , Josef A. Nossek

For ergodic fading, a lattice coding and decoding strategy is proposed and its performance is analyzed for the single-input single-output (SISO) and multiple-input multiple-output (MIMO) point-to-point channel as well as the multiple-access…

信息论 · 计算机科学 2017-02-28 Ahmed Hindy , Aria Nosratinia

This paper is concerned with massive-MIMO systems over Rician flat fading channels. In order to reduce the overhead to obtain full channel state information and to avoid the pilot contamination problem, by treating the scattered component…

信息论 · 计算机科学 2014-12-09 Dian-Wu Yue , Geoffrey Ye Li

The two-stage precoding has been proposed to reduce the overhead of both the channel training and the channel state information (CSI) feedback for the massive multiple-input multiple-output (MIMO) system. But the overlap of the…

信息论 · 计算机科学 2017-06-19 Jianpeng Ma , Shun Zhang , Hongyan Li , Nan Zhao , Victor C. M. Leung