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Properly designed precoders can significantly improve the spectral efficiency of multiple-input multiple-output (MIMO) relay systems. In this paper, we investigate joint source and relay precoding design based on the mean-square-error (MSE)…

Information Theory · Computer Science 2015-06-03 Rui Wang , Meixia Tao

This study proposes a novel precoding scheme for multiuser multiple-input multiple-output (MIMO) relay systems in the presence of imperfect channel state information (CSI). The base station (BS) and the MIMO relay station (RS) are both…

Information Theory · Computer Science 2014-12-18 Y. Cai , R. C. de Lamare , L. L. Yang , M. Zhao

We investigate quantization and feedback of channel state information in a multiuser (MU) multiple input multiple output (MIMO) system. Each user may receive multiple data streams. Our design minimizes the sum mean squared error (SMSE)…

Information Theory · Computer Science 2011-11-30 Muhammad Nazmul Islam , Raviraj Adve

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…

Signal Processing · Electrical Eng. & Systems 2021-07-30 Deokhwan Han , Namyoon Lee

We demonstrate that separating beamforming (i.e., downlink precoding and uplink combining) and channel estimation in multi-user MIMO wireless systems incurs no loss of optimality under general conditions that apply to a wide variety of…

Information Theory · Computer Science 2025-07-15 Lorenzo Miretti , Slawomir Stańczak , Giuseppe Caire

It has been well known that the achievable rate of multiuser multiple-input multiple-output systems with limited feedback is severely degraded by quantization errors when the number of feedback bits is not sufficient. To overcome such a…

Information Theory · Computer Science 2024-07-09 Wentao Zhou , Di Zhang , Merouane Debbah , Inkyu Lee

Cell-free massive multiple-input multiple-output (CF-mMIMO) is a breakthrough technology for beyond-5G systems, designed to significantly boost the energy and spectral efficiencies of future mobile networks while ensuring a consistent…

Signal Processing · Electrical Eng. & Systems 2024-09-19 Alejandro de la Fuente , Guillem Femenias , Felip Riera-Palou , Giovanni Interdonato

Cell-free Massive MIMO is considered as a promising technology for satisfying the increasing number of users and high rate expectations in beyond-5G networks. The key idea is to let many distributed access points (APs) communicate with all…

Information Theory · Computer Science 2019-09-19 Emil Björnson , Luca Sanguinetti

This paper takes a new look at Cell-free Massive MIMO (multiple-input multiple-output) through the lens of the dynamic cooperation cluster framework from the Network MIMO literature. The purpose is to identify and address scalability issues…

Information Theory · Computer Science 2019-06-27 Emil Björnson , Luca Sanguinetti

User-centric (UC) based cell-free (CF) structures can provide the benefits of coverage enhancement for millimeter wave (mmWave) multiple input multiple output (MIMO) systems, which is regarded as the key technology of the reliable and…

Information Theory · Computer Science 2022-05-10 Yingrong Zhong , Yashuai Cao , Tiejun Lv

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

Using precoding to suppress multi-user interference is a well-known technique to improve spectra efficiency in multiuser multiple-input multiple-output (MU-MIMO) systems, and the pursuit of high performance and low complexity precoding…

Information Theory · Computer Science 2022-07-11 Maojun Zhang , Jiabao Gao , Caijun Zhong

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 investigates new efficient transmission architectures for multi-satellite massive multiple-input multiple-output (MIMO). We study the weighted sum-rate maximization problem in a multi-satellite system where multiple satellites…

Signal Processing · Electrical Eng. & Systems 2026-03-24 Wenjing Cao , Yafei Wang , Jinshuo Zhang , Xiaofan Xu , Wenjin Wang , Symeon Chatzinotas , Björn Ottersten

We consider linear precoding and decoding in the downlink of a multiuser multiple-input, multiple-output (MIMO) system, wherein each user may receive more than one data stream. We propose several mean squared error (MSE) based criteria for…

Information Theory · Computer Science 2009-02-10 Adam J. Tenenbaum , Raviraj S. Adve

Rate-splitting multiple access (RSMA) has been studied for multiuser multiple-input multiple-output (MUMIMO) systems especially in the presence of imperfect channel state information (CSI) at the transmitter. However, its precoding designs…

Information Theory · Computer Science 2025-12-05 Wentao Zhou , Yijie Mao , Di Zhang , Mérouane Debbah , Inkyu Lee

We present a novel and low-complexity massive multiple-input multiple-output (MIMO) precoding strategy based on novel findings concerning the subspace separability of Rician fading channels. Considering a uniform rectangular array at the…

Signal Processing · Electrical Eng. & Systems 2020-09-22 Lucas N. Ribeiro , Stefan Schwarz , André L. F. de Almeida , Martin Haardt

In this paper, we consider the design of robust linear precoders for MU-MISO systems where users have perfect Channel State Information (CSI) while the BS has partial CSI. In particular, the BS has access to imperfect estimates of the…

Information Theory · Computer Science 2016-11-15 Hamdi Joudeh , Bruno Clerckx

This paper presents new results on linear transceiver designs in a multiple-input-multiple-output (MIMO) link. By considering the minimal total mean-square error (MSE) criterion, we prove that the robust optimal linear transceiver design…

Signal Processing · Electrical Eng. & Systems 2020-03-04 Hongying Tang , Wen Chen , Jun Li

Cell-free massive multiple-input-multiple-output (mMIMO) is an emerging technology for beyond 5G with its promising features such as higher spectral efficiency and superior spatial diversity as compared to conventional…

Information Theory · Computer Science 2020-12-29 Zakir Hussain Shaik , Emil Björnson , Erik G. Larsson