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Motivated by massive deployment of low data rate Internet of things (IoT) and ehealth devices with requirement for highly reliable communications, this paper proposes receive beamforming techniques for the uplink of a single-input…

Information Theory · Computer Science 2017-05-17 Majid Bavand , Steven D. Blostein

This paper is devoted to the performance study of the Linear Minimum Mean Squared Error estimator for multidimensional signals in the large dimension regime. Such an estimator is frequently encountered in wireless communications and in…

Information Theory · Computer Science 2008-10-13 Abla Kammoun , Malika Kharouf , Walid Hachem , Jamal Najim

In this paper we study on a massive MIMO relay system with linear precoding under the conditions of imperfect channel state information at the transmitter (CSIT) and per-user channel transmit correlation. In our system the source-relay…

Signal Processing · Electrical Eng. & Systems 2018-03-01 Yang Liu , Zhiguo Ding , Jia Shi , Weiwei Yang , Ping Zhong

A promising approach to deal with the high hardware cost and energy consumption of massive MIMO transmitters is to use low-resolution digital-to-analog converters (DACs) at each antenna element. This leads to a transmission scheme where the…

Information Theory · Computer Science 2023-10-10 Zheyu Wu , Junjie Ma , Ya-Feng Liu , A. Lee Swindlehurst

Linear receivers offer a low complexity option for multi-antenna communication systems. Therefore, understanding the outage behavior of the corresponding SINR is important in a fading mobile environment. In this paper we introduce a large…

Information Theory · Computer Science 2012-09-17 Aris L. Moustakas , Pavlos Kazakopoulos

Massive MIMO system yields significant improvements in spectral and energy efficiency for future wireless communication systems. The regularized zero-forcing (RZF) beamforming is able to provide good performance with the capability of…

Information Theory · Computer Science 2020-03-31 Hayoung Choi , Tao Jiang , Yuanming Shi , Xuan Liu , Khaled B. Letaief

This paper is devoted to the design of precoders maximizing the ergodic mutual information (EMI) of bi-correlated flat fading MIMO systems equiped with MMSE receivers. The channel state information and the second order statistics of the…

Information Theory · Computer Science 2016-11-17 Cedric Artigue , Philippe Loubaton

This work focuses on the downlink and uplink of large-scale single-cell MU-MIMO systems in which the base station (BS) endowed with $M$ antennas communicates with $K$ single-antenna user equipments (UEs). Particularly, we aim at reducing…

Information Theory · Computer Science 2017-04-05 Houssem Sifaou , Abla Kammoun , Luca Sanguinetti , Mérouane Debbah , Mohamed-Slim Alouini

Low-complexity beamformer design with practical constraints is an attractive research area for hybrid analog/digital systems in mm-wave massive multiple-input multiple-output (MIMO). This paper investigates interference-aware pre-beamformer…

Information Theory · Computer Science 2024-10-28 Murat Bayraktar , Gokhan Muzaffer Guvensen

The focus of this paper is on spatial precoding in correlated multi-antenna channels, where the number of independent data-streams is adapted to trade-off the data-rate with the transmitter complexity. Towards the goal of a low-complexity…

Information Theory · Computer Science 2009-09-29 Vasanthan Raghavan , Akbar Sayeed , Venu Veeravalli

It is well known that Multiple-Input Multiple-Output (MIMO) systems have high spectral efficiency, especially when channel state information at the transmitter (CSIT) is available. When CSIT is obtained by feedback, it is practical to…

Information Theory · Computer Science 2007-07-13 Wei Dai , Youjian Liu , Vincent K. N. Lau , Brian Rider

This work revisits a recently proposed precoding design for massive multiple-input multiple output (MIMO) systems that is based on the use of an instantaneous total power constraint. The main advantages of this technique lie in its…

Information Theory · Computer Science 2016-06-02 Houssem Sifaou , Abla Kammoun , Mohamed-Slim Alouini

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

In massive multiple-input multiple-output (MIMO) systems, the knowledge of the users' channel covariance matrix is crucial for minimum mean square error (MMSE) channel estimation in the uplink as well as it plays an important role in…

Information Theory · Computer Science 2022-06-07 Tianyu Yang , Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Giuseppe Caire

This paper describes the limiting behavior of linear and decision feedback equalizers (DFEs) in single/multiple antenna systems employing real/complex-valued modulation alphabets. The wideband frequency selective channel is modeled using a…

Information Theory · Computer Science 2013-07-16 Kiran Kuchi

Minimizing the symbol error in the uplink of multi-user multiple input multiple output systems is important, because the symbol error affects the achieved signal-to-interference-plus-noise ratio (SINR) and thereby the spectral efficiency of…

Signal Processing · Electrical Eng. & Systems 2022-03-25 Gábor Fodor , Sebastian Fodor , Miklós Telek

Approximate random matrix models for $\kappa-\mu$ and $\eta-\mu$ faded multiple input multiple output (MIMO) communication channels are derived in terms of a complex Wishart matrix. The proposed approximation has the least Kullback-Leibler…

Information Theory · Computer Science 2019-10-23 Muralikrishnan Srinivasan , Sheetal Kalyani

We analyze the high-SNR regime of the MxK Network MISO channel in which each transmitter has access to a different channel estimate, possibly with different precision. It has been recently shown that, for some regimes, this setting attains…

Information Theory · Computer Science 2021-10-12 Antonio Bazco-Nogueras , Paul de Kerret , David Gesbert , Nicolas Gresset

We study the effect of fading in the communication channels between nodes on the performance of the incremental least mean square (ILMS) algorithm. We derive steady-state performance metrics, including the mean-square deviation (MSD),…

Systems and Control · Computer Science 2015-08-11 Azam Khalili , Amir Rastegarnia

We introduce a class of nonlinear least square error precoders with a general penalty function for multiuser massive MIMO systems. The generality of the penalty function allows us to consider several hardware limitations including…

Information Theory · Computer Science 2017-04-24 Ali Bereyhi , Mohammad Ali Sedaghat , Saba Asaad , Ralf R. Müller