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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

This paper proposes the nonlinear Least Square Error (LSE) precoders for multiuser MIMO broadcast channels. The output signals of LSE Precoders are limited to be chosen from a predefined set which let these precoders address several…

Information Theory · Computer Science 2017-08-09 Mohammad Ali Sedaghat , Ali Bereyhi , Ralf Mueller

This paper proposes a low complexity precoding algorithm based on the recently proposed Generalized Least Square Error (GLSE) scheme with generic penalty and support. The algorithm iteratively constructs the transmit vector via Approximate…

Information Theory · Computer Science 2018-01-09 Ali Bereyhi , Mohammad Ali Sedaghat , Ralf R. Müller

A general class of nonlinear Least Square Error (LSE) precoders in multi-user multiple-input multiple-output systems is analyzed using the replica method from statistical mechanics. A single cell downlink channel with $N$ transmit antennas…

Information Theory · Computer Science 2017-04-28 Mohammad A. Sedaghat , Ali Bereyhi , Ralf R. Müller

This work focuses on distributed linear precoding when users transmit correlated information over a fading Multiple-Input and Multiple-Output Multiple Access Channel. Precoders are optimized in order to minimize the sum-Mean Square Error…

Information Theory · Computer Science 2024-01-31 P. Suárez-Casal , J. P. González-Coma , O. Fresnedo , L. Castedo

To keep massive MIMO systems cost-efficient, power amplifiers with rather small output dynamic ranges are employed. They may distort the transmit signal and degrade the performance. This paper proposes a distortion aware precoding scheme…

Signal Processing · Electrical Eng. & Systems 2019-05-15 Ali Bereyhi , Saba Asaad , Ralf R. Müller , Symeon Chatzinotas

In this paper, the problem of designing a linear precoder for Multiple-Input Multiple-Output (MIMO) systems in conjunction with Quadrature Amplitude Modulation (QAM) is addressed. First, a novel and efficient methodology to evaluate the…

Information Theory · Computer Science 2016-03-10 Thomas Ketseoglou , Ender Ayanoglu

This paper investigates the linear precoder design for $K$-user interference channels of multiple-input multiple-output (MIMO) transceivers under finite alphabet inputs. We first obtain general explicit expressions of the achievable rate…

Information Theory · Computer Science 2016-11-18 Yongpeng Wu , Chengshan Xiao , Xiqi Gao , John D. Matyjas , Zhi Ding

In this letter, we present a widely-linear minimum mean square error (WL-MMSE) precoding scheme employing real-valued transmit symbols for downlink large-scale multi-user multiple-input single-output (MU-MISO) systems. In contrast to the…

Information Theory · Computer Science 2015-02-09 Shahram Zarei , Wolfgang Gerstacker , Robert Schober

We propose fully distributed multi-group multicast precoding designs for cell-free massive multiple-input multiple-output (MIMO) systems with modest training overhead. We target the minimization of the sum of the maximum mean squared errors…

Information Theory · Computer Science 2024-02-01 Bikshapathi Gouda , Italo Atzeni , Antti Tölli

This paper investigates the design of precoders for single-user multiple-input multiple-output (MIMO) channels, and in particular for finite-alphabet signals. Based on an asymptotic expression for the mutual information of channels…

Information Theory · Computer Science 2017-04-18 Yongpeng Wu , Chao-Kai Wen , Derrick Wing Kwan Ng , Robert Schober , Angel Lozano

We consider multi-group multicast precoding designs for cell-free massive multiple-input multiple-output (MIMO) systems. To optimize the transmit and receive beamforming strategies, we focus on minimizing the sum of the maximum mean squared…

Information Theory · Computer Science 2022-11-11 Bikshapathi Gouda , Italo Atzeni , Antti Tölli

Precoding techniques are key to dealing with multiuser interference in the downlink of cell-free (CF) multiple-input multiple-output systems. However, these techniques rely on accurate estimates of the channel state information at the…

Information Theory · Computer Science 2024-07-09 A. Flores , R. de Lamare

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…

Information Theory · Computer Science 2017-06-28 Ovais Bin Usman , Hela Jedda , Amine Mezghani , Josef A. Nossek

This paper deals with the problem of precoding in multibeam satellite systems. In contrast to general multiuser multiple-input-multiple-output (MIMO) cellular schemes, multibeam satellite architectures suffer from different challenges.…

Information Theory · Computer Science 2016-12-14 Vahid Joroughi , Miguel Ángel Vázquez , Ana I. Pérez-Neira

In this paper, we investigate the design of multiple-input multiple-output single-user precoders for finite-alphabet signals under the premise of statistical channel-state information at the transmitter. Based on an asymptotic expression…

Information Theory · Computer Science 2016-02-12 Yongpeng Wu , Chao-Kai Wen , Derrick Wing Kwan Ng , Robert Schober , Angel Lozano

In this paper, we investigate the design of linear precoders for the multiple-input multiple-output (MIMO) multiple access channel (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and…

Information Theory · Computer Science 2016-11-15 Yongpeng Wu , Chao-Kai Wen , Chengshan Xiao , Xiqi Gao , Robert Schober

In this paper, the problem of designing a forward link linear precoder for Massive Multiple-Input Multiple-Output (MIMO) systems in conjunction with Quadrature Amplitude Modulation (QAM) is addressed. First, we employ a novel and efficient…

Information Theory · Computer Science 2017-07-14 Thomas Ketseoglou , Ender Ayanoglu

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…

Signal Processing · Electrical Eng. & Systems 2026-03-13 Seunghyeong Yoo , Mintaek Oh , Jeonghun Park , Namyoon Lee , Jinseok Choi

This paper presents a robust precoder design for resilient cell-free massive MIMO (CF-mMIMO) systems that minimizes the weighted sum of desired signal mean square error (MSE) and residual interference leakage power under a total transmit…

Information Theory · Computer Science 2025-12-02 Saeed Mashdour , André R. Flores , Rodrigo C. de Lamare
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