28 GHz Downlink Multi-User MIMO Experimental Verification Using 360 Element Digital AAS for 5G Massive MIMO

Tawa, Noriaki; Kuwabara, Toshihide; Maruta, Yasushi; Tanio, Masaaki; Kaneko, Tomoya

doi:10.23919/eumc.2018.8541719

Cited by 24 publications

(11 citation statements)

References 6 publications

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“…To prevent some paths from being missed, we take L est slightly larger than L in simulations. Based on the indexes of these L est entries, we find the azimuth and elevation AoAs of the corresponding paths from the discrete angles, according to (7), (8), and (22). The set of estimated AoAs is denoted as…”

Section: B Fast Beam Training Methodsmentioning

confidence: 99%

“…Step 4: Find the largest L est entries inĥ DL v , look for the corresponding angles according to (7), (8), and (22), and record them in set S AoA .…”

Section: B Fast Beam Training Methodsmentioning

confidence: 99%

“…We now recall that the practical implementation of mmWave systems faces several hardware challenges compared to sub-6 GHz communication systems [6]. The fully digital beamforming (DBF) architecture [7], [8], compared with other architectures, has the highest precoding freedom, flexible multibeam ability, fast beam steering speed, and high beamforming precision. However, the comparison result in [8] showed that the total cost and power consumption of the fully DBF architecture is more than twice of that of hybrid architectures.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fast Beam Training Architecture for Hybrid mmWave Transceivers

Yang

Jin

Wen

et al. 2020

IEEE Trans. Veh. Technol.

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Millimeter-wave (mmWave) communications attract considerable interest due to the massive available spectrum. However, to establish communication links, a beam training procedure is indispensable. How to accelerate the beam training process is one of the key challenges towards realizing mmWave communications in practice. In this study, we first propose a novel low-cost digital beamforming (DBF) module assisted hybrid (DA-hybrid) architecture, by exploiting both the capabilities of analog and digital modules. To make this topology practical, we deploy coarse radio frequency (RF) chains and low-resolution analog-to-digital converters in the low-cost DBF module to reduce cost and power consumption. Second, we design a fast beam training method (named DAH-BT) by utilizing the proposed DAhybrid architecture and leveraging the sparse nature of mmWave channels, in which an internal calibration method is adapted to obtain the parameters of the RF impairments and the orthogonal matching pursuit algorithm is utilized to estimate beams. We also prove that the developed measurement matrices satisfy the restricted isometry property. Extensive simulation results show that the DA-hybrid architecture can not only provide close to 100% beam matching accuracy, but also dramatically reduce the system power consumption and cost. In addition, the proposed DAH-BT scheme consumes the shortest time for beam training over the state-of-art methods with comparable spectral efficiency.

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Section: B Fast Beam Training Methodsmentioning

confidence: 99%

“…Step 4: Find the largest L est entries inĥ DL v , look for the corresponding angles according to (7), (8), and (22), and record them in set S AoA .…”

Section: B Fast Beam Training Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fast Beam Training Architecture for Hybrid mmWave Transceivers

Yang

Jin

Wen

et al. 2020

IEEE Trans. Veh. Technol.

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“…However, for the mmWave bands considered in 5G, hybrid beamforming may be a temporary solution that is applied until digital transceivers can be built [15]. In fact, there are already digital testbeds for the 28 GHz band [201]. When moving to the sub-THz band, it will be natural to once again begin with building analog or hybrid transceivers [200], [202].…”

Section: B Mimo For Sub-terahertz Communicationsmentioning

confidence: 99%

Prospective Multiple Antenna Technologies for Beyond 5G

Zhang

Björnson

Matthaiou

et al. 2020

IEEE J. Select. Areas Commun.

718

370

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Multiple antenna technologies have attracted much research interest for several decades and have gradually made their way into mainstream communication systems. Two main benefits are adaptive beamforming gains and spatial multiplexing, leading to high data rates per user and per cell, especially when large antenna arrays are adopted. Since multiple antenna technology has become a key component of the fifth-generation (5G) networks, it is time for the research community to look for new multiple antenna technologies to meet the immensely higher data rate, reliability, and traffic demands in the beyond 5G era. Radically new approaches are required to achieve orders-of-magnitude improvements in these metrics. There will be large technical challenges, many of which are yet to be identified. In this paper, we survey three new multiple antenna technologies that can play key roles in beyond 5G networks: cellfree massive MIMO, beamspace massive MIMO, and intelligent reflecting surfaces. For each of these technologies, we present the fundamental motivation, key characteristics, recent technical progresses, and provide our perspectives for future research directions. The paper is not meant to be a survey/tutorial of a mature subject, but rather serve as a catalyst to encourage more research and experiments in these multiple antenna technologies. Index Terms-Beyond 5G, cell-free massive MIMO, beamspace, intelligent reflecting surface. I. INTRODUCTION T HE demand for higher data rates and traffic volumes seems to be never-ending, thus the quest for delivering The work of J.

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“…The complexity of implementing many RF chains at millimeter wave frequencies is also higher due to the limited antenna size, so it will take time, and the combined efforts from academia and industry, before fully digital transceivers are commercially available. However, fully digital experimental setups already exists [79]. It is worth mentioning, that Massive MIMO as a technology is not bound to a specific range of carrier frequencies.…”

Section: Massive Mimomentioning

confidence: 99%

Exploring Alternative Massive MIMO Designs : Superimposed Pilots and Mixed-ADCs

Verenzuela

2020

Linköping Studies in Science and Technology. Dissertations

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This is a Swedish Doctor of Philosophy Dissertation. The Doctor of Philosophy degree comprises 240 ECTS credits of postgraduate studies.Cover: A Massive MIMO network where the stairs in the buildings represent the different ADC bit resolutions in a mixed-ADC design. The two merging signals from cellular phones illustrate the superposition of pilot and data signals, corresponding to the superimposed pilots design. This cover was painted by Andrea Britto Moreno with design input from the author. Exploring Alternative Massive MIMO Designs AbstractThe development of information and communication technologies (ICT) provides the means for reaching global connectivity that can help humanity progress and prosper. This comes with high demands on data traffic and number of connected devices which are rapidly growing and need to be met by technological development. Massive MIMO, where MIMO stands for multiple-input multiple-output, is a fundamental component of the 5G wireless communication standard for its ability to provide high spectral and energy efficiency, SE and EE, respectively. The key feature of this technology is the use of a large number of antennas at the base stations (BSs) to spatially multiplex several user equipments (UEs).In the development of new technologies like Massive MIMO, many design alternatives need to be evaluated and compared in order to find the best operating point with a preferable tradeoff between low cost and complexity. In this thesis, two alternative designs for signal processing and hardware in Massive MIMO are studied and compared with the baseline operation in terms of SE, EE, and power consumption. The first design is called superimposed pilot (SP) transmission and is based on superimposing pilot and data symbols to eliminate the need to reserve dedicated time-frequency resources for pilots. This allows more data to be transmitted and supports longer pilot sequences that, in turn, reduce pilot contamination. The second design is mixed analog-to-digital converters (ADCs) and it aims at balancing the SE performance and the power consumption cost by allowing different ADC bit resolutions across the BS antennas.The results show that the Massive MIMO baseline, when properly optimized, is the preferred choice in standard deployments and propagation conditions. However, the SP alternative design can increase the SE compared to the baseline by using the Massive-MIMO iterative channel estimation and decoding (MICED) algorithm proposed in this dissertation. In particular, the SE gains are found in cases with high mobility, high carrier frequencies, or high number of spatially multiplexed UEs. For the mixed-ADCs alternative design, improvements in the SE and EE compared to the Massive vii MIMO baseline can be achieved in cases with distributed BS antennas where interference suppression techniques are used. ix 3.2.2 Optimal Tradeoff between HWIs and BS Antennas . . 82 3.2.3 Optimal HWI Allocation under i.i.d. Rayleigh Fading 85 3.2.4 Optimal HWI Allocation under Correlated Rayleigh Fading and LSF...

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28 GHz Downlink Multi-User MIMO Experimental Verification Using 360 Element Digital AAS for 5G Massive MIMO

Cited by 24 publications

References 6 publications

Fast Beam Training Architecture for Hybrid mmWave Transceivers

Fast Beam Training Architecture for Hybrid mmWave Transceivers

Prospective Multiple Antenna Technologies for Beyond 5G

Exploring Alternative Massive MIMO Designs : Superimposed Pilots and Mixed-ADCs

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