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Future wireless communications systems are expected to operate at bands above 100GHz. The high energy consumption of analog-to-digital converters, due to their high resolution represents a bottleneck for future wireless communications…

Information Theory · Computer Science 2025-02-25 D. Melo , L. Landau , R. de Lamare

We present an analytical framework for the channel estimation and the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital converters (ADCs) and i.i.d. Rayleigh fading. First, we provide…

Information Theory · Computer Science 2021-11-17 Italo Atzeni , Antti Tölli

We study the impact of phase noise on the downlink performance of a multi-user multiple-input multiple-output system, where the base station (BS) employs a large number of transmit antennas $M$. We consider a setup where the BS employs…

Information Theory · Computer Science 2015-01-23 R. Krishnan , M. R. Khanzadi , N. Krishnan , Y. Wu , A. Graell i Amat , T. Eriksson , R. Schober

We study downlink channel estimation in a multi-cell Massive multiple-input multiple-output (MIMO) system operating in time-division duplex. The users must know their effective channel gains to decode their received downlink data. Previous…

Information Theory · Computer Science 2021-11-30 Amin Ghazanfari , Trinh Van Chien , Emil Björnson , Erik G. Larsson

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

We consider the downlink of a multi-cell system with multi-antenna base stations and single-antenna user terminals, arbitrary base station cooperation clusters, distance-dependent propagation pathloss, and general "fairness" requirements.…

Information Theory · Computer Science 2016-11-18 Hoon Huh , Antonia M. Tulino , Giuseppe Caire

We present a novel iterative detection and decoding scheme for the uplink of large-scale multiuser multiple-antenna systems. In order to reduce the receiver's energy consumption and computational complexity, 1-bit analog-to-digital…

Information Theory · Computer Science 2017-12-27 Z. Shao , L. Landau , R. de Lamare

Multiple-input multiple-output (MIMO) systems exploit spatial diversity to facilitate multi-user communications with high spectral efficiency by beamforming. As MIMO systems utilize multiple antennas and radio frequency (RF) chains, they…

Signal Processing · Electrical Eng. & Systems 2022-12-02 Eyyup Tasci , Timur Zirtiloglu , Alperen Yasar , Yonina C. Eldar , Nir Shlezinger , Rabia Tugce Yazicigil

We consider a MIMO fading broadcast channel and compute achievable ergodic rates when channel state information is acquired at the receivers via downlink training and it is provided to the transmitter by channel state feedback. Unquantized…

Information Theory · Computer Science 2016-11-17 Giuseppe Caire , Nihar Jindal , Mari Kobayashi , Niranjay Ravindran

In massive MIMO, most precoders result in downlink signals that suffer from high PAR, independently of modulation order and whether single-carrier or OFDM transmission is used. The high PAR lowers the power efficiency of the base station…

Information Theory · Computer Science 2017-09-15 Christopher Mollén , Erik G. Larsson , Thomas Eriksson

In this paper, we investigate the downlink throughput performance of a massive multiple-input multiple-output (MIMO) system that employs superimposed pilots for channel estimation. The component of downlink (DL) interference that results…

Information Theory · Computer Science 2019-04-16 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera

Massive multiple-input multiple-output (MIMO) is a key technology for 5G wireless communications with a promise of significant capacity increase. The use of low-resolution data converters is crucial for massive MIMO to make the overall…

Information Theory · Computer Science 2019-02-13 Yavuz Yapıcı , Sung Joon Maeng , İsmail Güvenç , Huaiyu Dai , Arupjyoti Bhuyan

We investigate the information-theoretic throughout achievable on a fading communication link when the receiver is equipped with one-bit analog-to-digital converters (ADCs). The analysis is conducted for the setting where neither the…

Information Theory · Computer Science 2015-05-06 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Ulf Gustavsson , Christoph Studer

This paper considers the uplink of user-centric cell-free massive MIMO (multiple-input multiple-output) systems. We utilize the user-centric dynamic cooperation clustering (DCC) framework and derive the achievable spectral efficiency with…

Information Theory · Computer Science 2021-09-10 Özlem Tuğfe Demir , Emil Björnson , Luca Sanguinetti

This paper analyzes the performance of linearly precoded time division duplex based multi-user massive MIMO downlink system under joint impacts of channel non-reciprocity (NRC) and imperfect channel state information (CSI). We consider a…

Information Theory · Computer Science 2018-03-06 Orod Raeesi , Ahmet Gokceoglu , Yaning Zou , Emil Björnson , Mikko Valkama

In this letter, we derive an approximate analytical expression for the uplink achievable rate of a massive multi-input multi-output (MIMO) antenna system when finite precision analog-digital converters (ADCs) and the common maximal ratio…

Information Theory · Computer Science 2015-12-03 Li Fan , Shi Jin , Chao-Kai Wen , Haixia Zhang

In this paper, we consider secure downlink transmission in a multi-cell massive multiple-input multiple-output (MIMO) system where the numbers of base station (BS) antennas, mobile terminals, and eavesdropper antennas are asymptotically…

Information Theory · Computer Science 2016-11-17 Jun Zhu , Robert Schober , Vijay K. Bhargava

We consider the downlink of a single-cell multi-user MIMO system in which the base station makes use of $N$ antennas to communicate with $K$ single-antenna user equipments (UEs) randomly positioned in the coverage area. In particular, we…

Information Theory · Computer Science 2016-11-17 Luca Sanguinetti , Emil Bjornson , Merouane Debbah , Aris Moustakas

This paper investigates downlink channel estimation in frequency-division duplex (FDD)-based massive multiple-input multiple-output (MIMO) systems. To reduce the overhead of downlink channel estimation and uplink feedback in FDD systems,…

Information Theory · Computer Science 2016-08-24 Yinsheng Liu , Yinjun Liu , Qimei Cui , Riku Jantti

Zero-forcing (ZF) precoding plays an important role for massive MIMO downlink due to its near optimal performance. However, the high computation cost of the involved matrix inversion hinders its application. In this paper, we adopt the…

Information Theory · Computer Science 2017-11-02 Cheng Zhang , Yindi Jing , Yongming Huang , Luxi Yang