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This paper investigates the uplink achievable rates of massive multiple-input multiple-output (MIMO) antenna systems in Ricean fading channels, using maximal-ratio combining (MRC) and zero-forcing (ZF) receivers, assuming perfect and…

Information Theory · Computer Science 2015-06-19 Qi Zhang , Shi Jin , Kai-Kit Wong , Hongbo Zhu , Michail Matthaiou

Millimeter wave (mmWave) massive multiple-input multiple-output (massive MIMO) is one of the most promising technologies for the fifth generation and beyond wireless communication system. However, a large number of antennas incur high power…

Information Theory · Computer Science 2023-01-27 Ruizhe Wang , Hong Ren , Cunhua Pan , Jun Fang , Mianxiong Dong , Octavia A. Dobre

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

Quantized massive multiple-input-multiple-output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the multi-user interference and the quantization distortions in a…

Information Theory · Computer Science 2017-04-24 Hela Jedda , Amine Mezghani , Josef A. Nossek , A. Lee Swindlehurst

Massive MIMO is a compelling wireless access concept that relies on the use of an excess number of base-station antennas, relative to the number of active terminals. This technology is a main component of 5G New Radio (NR) and addresses all…

Information Theory · Computer Science 2018-08-29 Liesbet Van der Perre , Liang Liu , Erik G. Larsson

We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the receiver (base station) has a large number of antennas. Specifically, we analyze achievable…

Information Theory · Computer Science 2013-11-07 Zhengdao Wang

In a growing number of applications, there is a need to digitize signals whose spectral characteristics are challenging for traditional Analog-to-Digital Converters (ADCs). Examples, among others, include systems where the ADC must acquire…

Signal Processing · Electrical Eng. & Systems 2022-10-12 Amir Weiss , Everest Huang , Or Ordentlich , Gregory W. Wornell

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

Cell-free Massive multiple-input multiple-output (MIMO) is considered, where distributed access points (APs) multiply the received signal by the conjugate of the estimated channel, and send back a quantized version of this weighted signal…

Information Theory · Computer Science 2019-07-09 Manijeh Bashar , Kanapathippillai Cumanan , Alister G. Burr , Hien Quoc Ngo , Merouane Debbah , Pei Xiao

Today's communication systems typically use high resolution analog-to-digital converters (ADCs). However, considering future communication systems with data rates in the order of 100Gbit/s the ADC power consumption becomes a major factor…

Information Theory · Computer Science 2019-12-03 Gerhard Fettweis , Meik Dörpinghaus , Sandra Bender , Lukas Landau , Peter Neuhaus , Martin Schlüter

Quantizers play a critical role in digital signal processing systems. Recent works have shown that the performance of quantization systems acquiring multiple analog signals using scalar analog-to-digital converters (ADCs) can be…

Signal Processing · Electrical Eng. & Systems 2019-08-20 Nir Shlezinger , Yonina C. Eldar

This paper considers the channel estimation problem for massive multiple-input multiple-output (MIMO) systems that use one-bit analog-to-digital converters (ADCs). Previous channel estimation techniques for massive MIMO using one-bit ADCs…

Information Theory · Computer Science 2022-06-28 Hwanjin Kim , Junil Choi

In this paper, we consider massive multiple-input multiple-output (MIMO) systems for both downlink and uplink scenarios, where three radio units (RUs) connected via one digital unit (DU) support multiple user equipments (UEs) at the…

Information Theory · Computer Science 2016-11-17 Yeon-Geun Lim , Chan-Byoung Chae , Giuseppe Caire

When a quantizer input signal is the sum of the desired signal and input white noise, the quantization error is a function of total input signal. Our new equivalent model splits the quantization error into two components: a non-linear…

Networking and Internet Architecture · Computer Science 2019-04-19 Arkady Molev-Shteiman , Xiao-Feng Qi , Laurence Mailaender , Narayan Prasad , Bertrand Hochwald

Distributed massive multiple-input multiple-output (MIMO) combines the array gain of coherent MIMO processing with the proximity gains of distributed antenna setups. In this paper, we analyze how transceiver hardware impairments affect the…

Information Theory · Computer Science 2015-06-04 Emil Björnson , Michail Matthaiou , Antonios Pitarokoilis , Erik G. Larsson

The use of one-bit analog-to-digital converters (ADCs) is a practical solution for reducing cost and power consumption in massive Multiple-Input-Multiple-Output (MIMO) systems. However, the distortion caused by one-bit ADCs makes the data…

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

Massive Multiple-Input Multiple-Output (MIMO) is foreseen to be one of the main technology components in next generation cellular communications (5G). In this paper, fundamental limits on the performance of downlink massive MIMO systems are…

Information Theory · Computer Science 2015-01-20 Fredrik Athley , Giuseppe Durisi , Ulf Gustavsson

We consider a MIMO fading broadcast channel and compare the achievable ergodic rates when the channel state information at the transmitter is provided by analog noisy feedback or by quantized (digital) feedback. The superiority of digital…

Information Theory · Computer Science 2007-07-13 Giuseppe Caire , Nihar Jindal , Mari Kobayashi , Niranjay Ravindran

In this paper, we propose a Singular-Value-Decomposition-based variable-resolution Analog to Digital Converter (ADC) bit allocation design for a single-user Millimeter wave massive Multiple-Input Multiple-Output receiver. We derive the…

Signal Processing · Electrical Eng. & Systems 2018-04-27 I. Zakir Ahmed , Hamid Sadjadpour , Shahram Yousefi

A limitation of bandwidth in the wireless network and the exponential rise in the high data rate requirement prompted the development of Massive Multiple-Input-Multiple-Output (MIMO) technique in 5G. Using this method the ever rising data…

Signal Processing · Electrical Eng. & Systems 2024-06-11 Mariea Sharaf Anzum , Moontasir Rafique , Md. Asif Ishrak Sarder , Fehima Tajrian , Abdullah Bin Shams