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Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state information at the transmitter and receiver. This paper presents codebook designs and performance analyses for limited feedback MIMO…

Information Theory · Computer Science 2017-04-17 Jianhua Mo , Robert W. Heath

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

Massive multi-user (MU) multiple-input multiple- output (MIMO) is widely believed to be a core technology for the upcoming fifth-generation (5G) wireless communication standards. The use of low-precision digital-to-analog converters (DACs)…

Information Theory · Computer Science 2016-12-09 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

An innovative approach to hybrid analog-digital precoding for the downlink of wideband massive MIMO systems is developed. The proposed solution, termed Rank-Constrained Coordinate Ascent (RCCA), starts seeking the full-digital precoder that…

Information Theory · Computer Science 2024-01-31 José P. González-Coma , Óscar Fresnedo , Luis Castedo

Hybrid analog/digital precoding architectures can address the trade-off between achievable spectral efficiency and power consumption in large-scale MIMO systems. This makes it a promising candidate for millimeter wave systems, which require…

Information Theory · Computer Science 2016-06-28 Sungwoo Park , Ahmed Alkhateeb , Robert W. Heath

In this paper we first derived the mathematical expression for lower bound spectral efficiency (SE) calculation for zero-force (ZF), and minimum mean square error (MMSE). Secondly, we calculated the simulation SE with three algorithms for…

Signal Processing · Electrical Eng. & Systems 2019-02-14 Tasher Ali Sheikh , Joyatri Bora , Md. Anwar Hussain

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it preferable to get…

Information Theory · Computer Science 2016-11-17 Niranjay Ravindran , Nihar Jindal

In millimeter-wave (mmWave) MIMO systems, while a hybrid digital/analog precoding structure offers the potential to increase the achievable rate, it also faces the challenge of the need of a low-complexity design. In specific, the hybrid…

Information Theory · Computer Science 2016-03-08 Zhenyu Xiao , Pengfei Xia , Xiang-Gen Xia

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 MIMO systems are moving toward increased numbers of radio frequency chains, higher carrier frequencies and larger bandwidths. As such, digital-to-analog converters (DACs) are becoming a bottleneck in terms of hardware complexity and…

Systems and Control · Electrical Eng. & Systems 2025-07-16 Thomas Feys , Liesbet Van der Perre , François Rottenberg

Hybrid analog-digital (A/D) transceivers designed for millimeter wave (mmWave) systems have received substantial research attention, as a benefit of their lower cost and modest energy consumption compared to their fully-digital…

Information Theory · Computer Science 2020-08-14 Kaidi Xu , Yunlong Cai , Minjian Zhao , Yong Niu , Lajos Hanzo

This paper analyzes the performance of multicell massive multiple-input and multiple-output (MIMO) systems with variable-resolution analog-to-digital converters (ADCs). In such an architecture, each ADC uses arbitrary quantization…

Information Theory · Computer Science 2021-09-21 Youzhi Xiong , Sanshan Sun , Ning Wei , Li Liu , Zhongpei Zhang

Linear precoding has been widely studied in the context of Massive multiple-input-multiple-output (MIMO) together with two common power normalization techniques, namely, matrix normalization (MN) and vector normalization (VN). Despite this,…

Information Theory · Computer Science 2017-05-23 Meysam Sadeghi , Luca Sanguinetti , Romain Couillet , Chau Yuen

The high energy consumption of massive multi-input multi-out (MIMO) system has become a prominent problem in the millimeter wave(mm-Wave) communication scenario. The hybrid precoding technology greatly reduces the number of radio…

Signal Processing · Electrical Eng. & Systems 2019-08-02 Kai Chen , Jing Yang , Xiaohu Ge , Yonghui Li

Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reasonable power consumption and hardware complexity. In this…

Signal Processing · Electrical Eng. & Systems 2025-02-12 Mengyuan Ma , Nhan Thanh Nguyen , Italo Atzeni , A. Lee Swindlehurst , Markku Juntti

In this paper, we study the sum rate performance of zero-forcing (ZF) and regularized ZF (RZF) precoding in large MISO broadcast systems under the assumptions of imperfect channel state information at the transmitter and per-user channel…

Information Theory · Computer Science 2012-09-11 Sebastian Wagner , Romain Couillet , Merouane Debbah , Dirk. T. M. Slock

The space limitation and the channel acquisition prevent Massive MIMO from being easily deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use of multi-polarized antennas can be an efficient solution to…

Information Theory · Computer Science 2015-01-13 Jaehyun Park , Bruno Clerckx

Massive multiuser (MU) multiple-input multiple-output (MIMO) will be a core technology in fifth-generation (5G) wireless systems as it offers significant improvements in spectral efficiency compared to existing multi-antenna technologies.…

Information Theory · Computer Science 2017-11-09 Oscar Castañeda , Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

Hybrid multiple-antenna transceivers, which combine large-dimensional analog pre/postprocessing with lower-dimensional digital processing, are the most promising approach for reducing the hardware cost and training overhead in massive MIMO…

Information Theory · Computer Science 2017-05-02 Andreas F. Molisch , Vishnu V. Ratnam , Shengqian Han , Zheda Li , Sinh Le Hong Nguyen , Linsheng Li , Katsuyuki Haneda

This paper considers the downlink precoding for physical layer multicasting in massive multiple-input-multiple-output (MIMO) systems. We study the max-min fairness (MMF) problem, where channel state information (CSI) at the transmitter is…

Information Theory · Computer Science 2017-06-01 Meysam Sadeghi , Emil Björnson , Erik G. Larsson , Chau Yuen , Thomas L. Marzetta
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