Shifting the MIMO Paradigm

Gesbert, David; Kountouris, Marios; Heath, Robert W.; Chae, Chan-Byoung; Sälzer, T.

doi:10.1109/msp.2007.904815

Cited by 959 publications

(460 citation statements)

References 40 publications

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“…[34]. There are many reasons why multi-user MIMO is the most scalable and attractive solution [17]. Firstly, the wavelength is 5-30 cm in the frequency range of cellular communication (1)(2)(3)(4)(5)(6).…”

Section: Multi-user Mimo Communicationmentioning

confidence: 99%

A Review on Importance of Improving Spectral Efficiency in Massive MIMO Communications

Krishna¹,

Kumar²,

Rao³

2016

Nccsigma-16

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Section: Multi-user Mimo Communicationmentioning

confidence: 99%

A Review on Importance of Improving Spectral Efficiency in Massive MIMO Communications

Krishna¹,

Kumar²,

Rao³

2016

Nccsigma-16

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“…Multiuser multiple-input multiple-output (MU-MIMO) systems are likely to be an integral part of future wireless communication systems due to their ability to provide high data rates and reliability [1]. While most modern cellular standards, such as 802.16 (WiMAX) and LTE-Advanced, employ several antennas per base station (BS), the improvement in the data rate is relatively modest.…”

Section: Introductionmentioning

confidence: 99%

Impact of pilot sequence contamination in massive MIMO systems

Alkhaled

Alsusa

2017

IET Communications

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Time-division duplex (TDD) is the most efficient technique for acquiring channel state information (CSI) in massive MIMO systems where the reciprocity between the uplink and downlink channels is utilised by the pilot signals to extract the channel parameters. In this paper, we consider the pilot contamination problem in TDD multicell multiuser massive MIMO systems and examine two different pilot signal allocation schemes for which we derive the lower bounds on the achievable rate on the uplink for the cases of maximum-ratio combining (MRC) and zero-forcing (ZF) detectors. To achieve further performance enhancements, we propose a new algorithm for pilot sequences allocation in which the multiplicity of the pilot sequences over the number of users in each cell is exploited. Our results show that when pilot contamination is severe, allocating more system resources for channel estimation results in a better system performance especially in limited mobility environments. Moreover, we show that when the signal to interference plus noise ratio (SINR) is low, MRC is superior to ZF, and vice versa. Finally, we demonstrate that our proposed allocation algorithm can significantly improve the spectral efficiency of the network compared to the conventional pilot allocation method.

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“…Moreover, these systems have already been developed as commercial products in accordance with the Long Term Evolution (LTE) and IEEE802.11n standards [6,7]. In multi-user MIMO (MU-MIMO) systems, the channel capacity C is improved by employing a TR between a base station (BS) and multiple user equipment (UE) units, where the UE has a small number of antennas [8,9]. The MU-MIMO system has been incorporated into the LTE-Advanced and IEEE802.11ac standards [10].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Implicit Beamforming with Large Number of Antennas Using Calibration Technique in Multi-User MIMO System

et al. 2017

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This paper examines the effectiveness of implicit beamforming (IBF), which enables transmission without channel state information (CSI) feedback in multi-user multiple-input multiple-output (MU-MIMO) systems with a large number of antennas. First, we explain why CSI feedback from terminal stations to the base station produces a very large overhead. A calibration technique is then introduced, which compensates for the difference between the complex amplitudes of the transmitters and receivers to facilitate CSI-feedback-free beamforming; this technique is called IBF. The efficacy of this calibration technique is demonstrated by measuring the amplitude and phase errors obtained using a 16-element array testbed and by performing a channel capacity evaluation. Finally, the throughput under IEEE802.11ac-based massive MIMO transmission, both with and without CSI feedback, is obtained in terms of the medium access control efficiency.

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Shifting the MIMO Paradigm

Cited by 959 publications

References 40 publications

A Review on Importance of Improving Spectral Efficiency in Massive MIMO Communications

A Review on Importance of Improving Spectral Efficiency in Massive MIMO Communications

Impact of pilot sequence contamination in massive MIMO systems

Effectiveness of Implicit Beamforming with Large Number of Antennas Using Calibration Technique in Multi-User MIMO System

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