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Related papers: Massive MIMO with Multi-Antenna Users: When are Ad…

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This paper analyzes how the distortion created by hardware impairments in a multiple-antenna base station affects the uplink spectral efficiency (SE), with focus on Massive MIMO. The distortion is correlated across the antennas, but has…

Information Theory · Computer Science 2018-05-22 Emil Björnson , Luca Sanguinetti , Jakob Hoydis

Multiple transmitting antennas can considerably increase the downlink spectral efficiency by beamforming to multiple users at the same time. However, multiuser beamforming requires channel state information (CSI) at the transmitter, which…

Information Theory · Computer Science 2017-01-31 Xu Du , John Tadrous , Ashutosh Sabharwal

This paper aims to minimize the total transmit power consumption for Massive MIMO (multiple-input multiple-output) downlink cellular systems when each user is served by the optimized subset of the base stations (BSs). We derive a lower…

Information Theory · Computer Science 2016-07-08 Trinh Van Chien , Emil Björnson , Erik G. Larsson

Massive MIMO is attractive for wireless information and energy transfer due to its ability to focus energy towards desired spatial locations. In this paper, the overall power transfer efficiency (PTE) and the energy efficiency (EE) of a…

Information Theory · Computer Science 2019-09-20 Talha Ahmed Khan , Ali Yazdan , Robert W. Heath

We carry out a theoretical analysis of the uplink (UL) of a massive MIMO system with per-user channel correlation and Rician fading, using two processing approaches. Firstly, we examine the linear minimum-mean-square-error receiver under…

Information Theory · Computer Science 2018-09-07 Ikram Boukhedimi , Abla Kammoun , Mohamed-Slim Alouini

In this paper, we consider the multi-user detection problem in a multiple-input multiple-output (MIMO) system, where the number of receive antennas at the base station (BS) grows infinitely large. We propose a new performance metric, called…

Signal Processing · Electrical Eng. & Systems 2021-07-22 Ruichen Jiang , Ya-Feng Liu

This paper considers three aspects of Massive MIMO (multiple-input multiple-output) communication networks that have received little attention in previous works, but are important to understand when designing and implementing this promising…

Information Theory · Computer Science 2015-09-23 Emil Björnson , Erik G. Larsson

The uplink achievable rate of massive multiple- input-multiple-output (MIMO) systems, where the low-resolution analog-to-digital converters (ADCs) are assumed to equip at the base station (BS), is investigated in this paper. We assume that…

Information Theory · Computer Science 2018-01-31 Kai Liu , Cheng Tao , Liu Liu , Yinsheng Liu

A Cell-Free Massive MIMO (multiple-input multiple-output) system comprises a very large number of distributed access points (APs)which simultaneously serve a much smaller number of users over the same time/frequency resources based on…

Information Theory · Computer Science 2017-01-18 Hien Quoc Ngo , Alexei Ashikhmin , Hong Yang , Erik G. Larsson , Thomas L. Marzetta

Massive multiple-input multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless communication networks. However, the use of very large antenna arrays at the base stations (BSs) brings…

Information Theory · Computer Science 2014-03-27 Yong Zeng , Rui Zhang , Zhi Ning Chen

How would a cellular network designed for maximal energy efficiency look like? To answer this fundamental question, tools from stochastic geometry are used in this paper to model future cellular networks and obtain a new lower bound on the…

Information Theory · Computer Science 2016-04-06 Emil Björnson , Luca Sanguinetti , Marios Kountouris

A comparative resource allocation analysis in terms of received bits-per-antenna spectral efficiency (SE) and energy efficiency (EE) in downlink (DL) single-cell massive multiple-input multiple-output (mMIMO) and non-orthogonal multiple…

Information Theory · Computer Science 2023-01-10 Thiago Alves Bruza Alves , Taufik Abrão

Large number of antennas and radio frequency (RF) chains at the base stations (BSs) lead to high energy consumption in massive MIMO systems. Thus, how to improve the energy efficiency (EE) with a computationally efficient approach is a…

Information Theory · Computer Science 2020-10-28 Mangqing Guo , M. Cenk Gursoy

The uplink of interference-limited cellular networks with base stations that have large numbers of antennas and use linear Minimum-Mean-Square Error (MMSE) processing with power control is analyzed. Simple approximations, which are exact in…

Information Theory · Computer Science 2015-06-22 Siddhartan Govindasamy

Massive multiple-input multiple-output (MIMO) systems deploying a large number of antennas at the base station considerably increase the spectrum efficiency by serving multiple users simultaneously without causing severe interference.…

Information Theory · Computer Science 2019-02-19 Yu Han , Qi Liu , Chao-Kai Wen , Shi Jin , Kai-Kit Wong

In this work, salient characteristics of a wireless communication system deploying a great number of antennas in the base station (BS), namely Massive MIMO system, are investigated. In particular, we found a simple and meaningful…

Networking and Internet Architecture · Computer Science 2014-06-17 José Carlos Marinello , Taufik Abrão

Cell-Free Massive MIMO comprises a large number of distributed single-antenna access points (APs) serving a much smaller number of users. There is no partitioning into cells and each user is served by all APs. In this paper, the uplink…

Information Theory · Computer Science 2017-02-13 Elina Nayebi , Alexei Ashikhmin , Thomas L. Marzetta , Bhaskar D. Rao

We consider the multi-user MIMO broadcast channel with $M$ single-antenna users and $N$ transmit antennas under the constraint that each antenna emits signals having constant envelope (CE). The motivation for this is that CE signals…

Information Theory · Computer Science 2012-06-14 Saif Khan Mohammed , Erik G. Larsson

Under the conditions where performance in a massive MIMO network is limited by pilot contamination, the reverse link signal-to-interference ratio (SIR) exhibits different distributions when using different pilot allocation schemes. By…

Information Theory · Computer Science 2016-06-10 Anand Sivamalai , Jamie S. Evans

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
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