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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…

Signal Processing · Electrical Eng. & Systems 2023-11-20 Hamed Hosseiny , Arman Farhang , Behrouz Farhang-Boroujeny

In this letter, we propose three linear receivers including Bussgang-based Maximal Ratio Combining (BMRC), Bussgang-based Zero-Forcing (BZF), and Bussgang-based Minimum Mean Squared Error (BMMSE) for massive MIMO systems with one-bit…

Signal Processing · Electrical Eng. & Systems 2020-09-02 Ly V. Nguyen , Duy H. N. Nguyen

We propose several differential decoding schemes for asynchronous multi-user MIMO systems based on orthogonal space-time block codes (OSTBCs) where neither the transmitters nor the receiver has knowledge of the channel. First, we derive…

Information Theory · Computer Science 2014-12-22 Sina Poorkasmaei , Hamid Jafarkhani

The next generation of wireless communications systems will employ new frequency bands such as those in the upper midband, millimeter-wave and sub-terahertz frequency bands. The high energy consumption of analog-to-digital converters…

Information Theory · Computer Science 2025-05-27 D. Melo , L. Landau , R. de Lamare

This paper is concerned with SC/FDE for bandwidth-efficient uplink block transmission, with QAM schemes, in a MU MIMO system. The number of BS receiver antennas is assumed to be large, but not necessarily much larger than the overall number…

Information Theory · Computer Science 2016-11-15 Paulo Torres , Antonio Gusmao

We propose a method for MIMO decoding when channel state information (CSI) is unknown to both the transmitter and receiver. The proposed method requires some structure in the transmitted signal for the decoding to be effective, in…

Signal Processing · Electrical Eng. & Systems 2018-02-06 Thomas R. Dean , Mary Wootters , Andrea J. Goldsmith

We present a mathematical analysis of linear precoders for downlink massive MIMO multiuser systems that employ one-bit digital-to-analog converters at the basestation in order to reduce complexity and mitigate power usage. The analysis is…

Information Theory · Computer Science 2016-10-24 Amodh Kant Saxena , Inbar Fijalkow , A. Lee Swindlehurst

We present a novel non-linear precoding technique for the transmission of 16 quadrature amplitude modulation (QAM) symbols in a 1-bit massive multi-user (MU) multipleinput- single-output (MISO) downlink system. We deploy low resolution…

Information Theory · Computer Science 2016-12-19 Donia Ben Amor , Hela Jedda , Josef A. Nossek

The use of low-resolution digital-to-analog converters (DACs) for transmit precoding provides crucial energy efficiency advantage for massive multiple-input multiple-output (MIMO) implementation. This paper formulates a quadrature amplitude…

Information Theory · Computer Science 2018-07-04 Foad Sohrabi , Ya-Feng Liu , Wei Yu

This paper considers a movable antenna (MA)-aided secure multiple-input multiple-output (MIMO) communication system consisting of a base station (BS), a legitimate information receiver (IR) and an eavesdropper (Eve), where the BS is…

Information Theory · Computer Science 2024-03-08 Jun Tang , Cunhua Pan , Yang Zhang , Hong Ren , Kezhi Wang

The theory of multiple-input multiple-output (MIMO) technology has been well-developed to increase fading channel capacity over single-input single-output (SISO) systems. This capacity gain can often be leveraged by utilizing channel state…

Information Theory · Computer Science 2008-02-25 Il Han Kim , David J. Love

This paper studies a reconfigurable intelligent surface (RIS)-assisted cell-free massive multiple-input multiple-output (CF-mMIMO) system with multiple RISs. Joint design of transmit precoding, RIS coefficients, and receive combining is…

Signal Processing · Electrical Eng. & Systems 2025-10-21 Navid Reyhanian , Reza Ghaderi Zefreh , Parisa Ramezani , Emil Bjornson

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

Low-resolution analog-to-digital converters (ADCs) and hybrid beamforming have emerged as efficient solutions to reduce power consumption with satisfactory spectral efficiency (SE) in massive multiple-input multiple-output (MIMO) systems.…

Signal Processing · Electrical Eng. & Systems 2025-01-22 Mengyuan Ma , Nhan Thanh Nguyen , Italo Atzeni , Markku Juntti

Cell-free massive MIMO (multiple-input multiple-output) is expected to be one of the key technologies in sixth-generation (6G) and beyond wireless communications, offering enhanced spectral efficiency for cell-edge user equipments by…

Signal Processing · Electrical Eng. & Systems 2025-09-23 Salih Gümüsbuğa , Ozan Alp Topal , Özlem Tuğfe Demir

The discrete nature of transmitted symbols poses challenges for achieving optimal detection in multiple-input multiple-output (MIMO) systems associated with a large number of antennas. Recently, the combination of two powerful machine…

Signal Processing · Electrical Eng. & Systems 2024-12-11 Xingyu Zhou , Le Liang , Jing Zhang , Chao-Kai Wen , Shi Jin

We develop a broadband channel estimation algorithm for millimeter wave (mmWave) multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters (ADCs). Our methodology exploits the joint sparsity of the mmWave MIMO…

Information Theory · Computer Science 2017-12-07 Jianhua Mo , Philip Schniter , Robert W. Heath

Algorithms for Massive MIMO uplink detection and downlink precoding typically rely on a centralized approach, by which baseband data from all antenna modules are routed to a central node in order to be processed. In the case of Massive…

Signal Processing · Electrical Eng. & Systems 2020-01-29 Jesus Rodriguez Sanchez , Fredrik Rusek , Ove Edfors , Muris Sarajlic , Liang Liu

Massive machine type communication (mMTC) has attracted new coding schemes optimized for reliable short message transmission. In this paper, a novel deep learning-based near-orthogonal superposition (NOS) coding scheme is proposed to…

Information Theory · Computer Science 2022-07-01 Chenghong Bian , Chin-Wei Hsu , Changwoo Lee , Hun-Seok Kim

Analog-to-digital converters (ADCs) are a major contributor to the power consumption of multiple-input multiple-output (MIMO) communication systems with large number of antennas. Use of low resolution ADCs has been proposed as a means to…

Information Theory · Computer Science 2019-01-29 Abbas Khalili , Farhad Shirani , Elza Erkip , Yonina C. Eldar
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