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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

The average symbol error probability (SEP) of a 1-bit quantized single-input multiple-output (SIMO) system is analyzed under Rayleigh fading channels and quadrature phase-shift keying (QPSK) modulation. Previous studies have partially…

Signal Processing · Electrical Eng. & Systems 2025-10-03 Amila Ravinath , Minhua Ding , Bikshapathi Gouda , Italo Atzeni , Antti Tölli

We study the multi-user massive multiple-input-single-output (MISO) and focus on the downlink systems where the base station (BS) employs hybrid analog-digital precoding with low-cost 1-bit digital-to-analog converters (DACs). In this…

Signal Processing · Electrical Eng. & Systems 2018-10-30 Ang Li , Christos Masouros , Fan Liu

In this paper, we solve the sum mean-squared error (MSE)-optimal 1-bit quantized precoding problem exactly for small-to-moderate sized multiuser multiple-input multiple-output (MU-MIMO) systems via branch and bound. To this end, we…

Information Theory · Computer Science 2018-04-11 Sven Jacobsson , Weiyu Xu , Giuseppe Durisi , Christoph Studer

Remarkable research activities and major advances have been occurred over the past decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several transmission technologies and precoding techniques have been developed in order…

Information Theory · Computer Science 2016-11-16 Eduardo Castañeda , Adão Silva , Atílio Gameiro , Marios Kountouris

Symbol-level precoding is a new paradigm for multiuser downlink systems which aims at creating constructive interference among the transmitted data streams. This can be enabled by designing the precoded signal of the multiantenna…

Information Theory · Computer Science 2017-04-12 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

Precoding is a critical and long-standing technique in multi-user communication systems. However, the majority of existing precoding methods do not consider channel coding in their designs. In this paper, we consider the precoding problem…

Signal Processing · Electrical Eng. & Systems 2024-10-31 Ly V. Nguyen , Junil Choi , Bjorn Ottersten , A. Lee Swindlehurst

Consider the following problem: A multi-antenna base station (BS) sends multiple symbol streams to multiple single-antenna users via precoding. However, unlike conventional multiuser precoding, the transmitted signals are subjected to…

Information Theory · Computer Science 2019-10-23 Mingjie Shao , Qiang Li , Wing-Kin Ma , Anthony Man-Cho So

Having lower quantization resolution, has been introduced in the literature, as a solution to reduce the power consumption of massive MIMO and millimeter wave MIMO systems. In this paper, we analyze bit error rate (BER) performance of…

Signal Processing · Electrical Eng. & Systems 2018-04-20 Azad Azizzadeh , Reza Mohammadkhani , Seyed Vahab Al-Din Makki , Emil Björnson

This study proposes the construction of a transmit signal for large-scale antenna systems with cost-effective 1-bit digital-to-analog converters in the downlink. Under quadrature-amplitude-modulation constellations, it is still an open…

Information Theory · Computer Science 2021-06-02 Sungyeal Park , Yunseong Cho , Songnam Hong

In this paper, we investigate the quantization and the feedback of downlink spatial covariance matrix for massive multiple-input multiple-output (MIMO) systems with cascaded precoding. Massive MIMO has gained a lot of attention recently…

Information Theory · Computer Science 2016-10-18 Yinsheng Liu , Geoffrey Ye Li , Wei Han

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 this paper, we study the problem of digital pre/post-coding design in multiple-input multiple-output (MIMO) systems with 1-bit resolution per complex dimension. The optimal solution that maximizes the received signal-to-noise ratio…

Signal Processing · Electrical Eng. & Systems 2024-06-10 Ioannis Krikidis

This paper considers channel estimation and system performance for the uplink of a single-cell massive multiple-input multiple-output (MIMO) system. Each receive antenna of the base station (BS) is assumed to be equipped with a pair of…

Information Theory · Computer Science 2017-08-02 Yongzhi Li , Cheng Tao , Gonzalo Seco-Granados , Amine Mezghani , A. Lee Swindlehurst , Liu Liu

Massive multiple-input multiple-output (MIMO) is a promising technology aiming at achieving high spectral efficiency by deploying a large number of base station (BS) antennas using coherent combining. Channel aging due to user mobility is a…

Information Theory · Computer Science 2015-09-16 Anastasios K. Papazafeiropoulos

This paper focuses on the analysis and optimization of a class of linear one-bit precoding schemes for a downlink massive MIMO system under Rayleigh fading channels. The considered class of linear one-bit precoding is fairly general,…

Information Theory · Computer Science 2023-06-28 Zheyu Wu , Junjie Ma , Ya-Feng Liu , A. Lee Swindlehurst

This paper optimizes the fronthaul bit allocation in massive multi-user multiple-input multiple-output (MU-MIMO) systems operating with limited-capacity fronthaul links. We consider an advanced antenna system (AAS) controlled by a…

Information Theory · Computer Science 2026-01-27 Yasaman Khorsandmanesh , Emil Bjornson , Joakim Jalden

Imperfect channel state information degrades the performance of multiple-input multiple-output (MIMO) communications; its effect on single-user (SU) and multi-user (MU) MIMO transmissions are quite different. In particular, MU-MIMO suffers…

Information Theory · Computer Science 2016-02-17 Jun Zhang , Robert W. Heath , Marios Kountouris , Jeffrey G. Andrews

We consider the problem of channel estimation for uplink multiuser massive MIMO systems, where, in order to significantly reduce the hardware cost and power consumption, one-bit analog-to-digital converters (ADCs) are used at the base…

Information Theory · Computer Science 2017-04-18 Feiyu Wang , Jun Fang , Hongbin Li , Shaoqian Li

In this work, we consider a 1-bit quantized massive MIMO channel with superimposed pilot (SP) scheme, dubbed QSP. With linear minimum mean square error (LMMSE) channel estimator and maximum ratio combining (MRC) receiver at the BS, we…

Information Theory · Computer Science 2018-06-25 M. A. Teeti , Rui Wang , Reza Abdolee