Experimental evaluation of downlink transmission and beam tracking performance for 5G mmW radio access in indoor shielded environment

Inoue, Y.; Kishiyama, Yoshihisa; Okumura, Yukihiko; Kepler, J.F.; Cudak, Mark

doi:10.1109/pimrc.2015.7343418

Cited by 16 publications

(9 citation statements)

References 3 publications

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“…The method exploited training sequences for detection of signal strengths. The evaluation of the proposed algorithm was provided in [19]. The approach required multiple beam training whereas our method requires training of only one beam.…”

Section: B Prior Work and Motivationmentioning

confidence: 99%

Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications

et al. 2019

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Millimetre wave (mmWave) is a promising technology to meet the ever-growing data traffic in the future. A major challenge of mmWave communications is the high path loss. In order to overcome this issue, mmWave systems often adopt beamforming techniques, which require robust channel estimation and beam tracking algorithms to maintain an adequate quality of service. This paper proposes a framework of channel estimation and beam tracking for mmWave communications. The proposed framework is designed for vehicular to infrastructure communication but can be extended to other applications as well. First, we propose a multi-stage adaptive channel estimation algorithm called robust adaptive multi-feedback (RAF). The algorithm is based on using the estimated channel coefficient to predict a lower bound for the required number of measurements. Our simulations demonstrate that compared with the existing algorithms, RAF can achieve the desired probability of estimation error (PEE), while on average reducing the feedback overhead by 75.5% and the total channel estimation time by 14%. Second, after estimating the channel in the first step, the paper follows by investigating the extended Kalman filter (EKF) for beam tracking in vehicular communications. A crucial part of EKF is the calculation of Jacobian matrices. We show that the model used in the previous work, which was based on the angles of arrival and departure, is not suitable for vehicular communications. This is due to the complexity in the calculation of Jacobian matrices. A new model is proposed for EKF in mmWave vehicular communications which is based on position, velocity and channel coefficient. Closed-form expressions are derived for the Jacobians used in EKF which facilitate the implementation of the EKF tracking algorithm in the proposed model. Finally, we provide an extensive number of simulations to substantiate the robustness of the framework as well as presenting the analytical results on the PEE of the RAF algorithm.Index Terms-Millimeter wave, multiple-input multiple-output (MIMO), channel estimation, beamforming, analog beamforming, beam tracking, Extended Kalman filter (EKF).

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Section: B Prior Work and Motivationmentioning

confidence: 99%

Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications

et al. 2019

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“…As an alternative to beamforming antennas, beam steering lens antennas could also be used [39][40][41][42]. These antennas would also have an array of antenna elements, but only one of them is selected for transmission/reception depending on the desired direction.…”

Section: On Millimeter-wave Multi-hop Network In Generalmentioning

confidence: 99%

User level performance analysis of multi-hop in-band backhaul for 5G

2017

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In recent years, mobile access networks operating at millimeter wavelengths have received a great deal of attention, as they promise previously unattainably high mobile data rates. At these frequencies, mobile access links are expected to use highly directional beamforming antennas, which are also well suited to backhaul links. Therefore, access points can efficiently act as self-backhauled relays by using the same spectrum, circuits and antennas for mobile access and backhaul links, thus forming a multi-hop in-band backhaul network. The contributions of our paper are extensive simulations to investigate user level performance in such multi-hop networks. We specifically take into account the momentary data traffic of every link in order to calculate the interference. Results quantify the detrimental effect of interference on user level performance. Furthermore, the potential benefit of using the combination of in-band and dedicated backhaul links is evaluated. Additionally, this paper investigates the user level effects of the sudden loss of a link in the backhaul mesh network, and underlines the importance of effective rerouting algorithms. The feasibility of the inband concept is demonstrated, and we can confirm that the user level experience will surpass the performance provided by previous generation mobile networks.

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“…In [42], [43], experimental trials for 3D beam tracking evaluations at a 70 GHz carrier frequency are presented. A picture of outdoor experiments, held in NTT DOCOMO R&D center in Japan, is shown in Fig.…”

Section: G Trials In Docomomentioning

confidence: 99%

“…The trial system can achieve a maximum packet throughput of more than 2 Gbps by applying 16QAM over an 1-GHz bandwidth with a single-carrier waveform. In [43], it is reported that a throughput of over 2 Gbps was achieved by applying beam tracking for low mobility users. In the trial, the best beam is adaptively selected from the predetermined candidate beams via the user feedback.…”

Section: G Trials In Docomomentioning

confidence: 99%

Massive MIMO Technologies and Challenges towards 5G

Papadopoulos¹,

Wang²,

Bursalioglu³

et al. 2016

IEICE Trans. Commun.

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SUMMARY Massive MIMO is widely recognized as an essential technology for 5G. Together with newly allocated spectrum (bandwidth) and network densification (small cells), it is expected to play a key role in coping with the ongoing explosion in data-traffic demand and services. Compared to 4G MIMO technologies, massive MIMO can offer large gains in cell spectral efficiency, which, in combination with small cells and additional bandwidth, can translate into vast gains in throughput per unit area. We briefly overview the most promising TDD and FDD operation modes for massive MIMO, and discuss their potential benefits and challenges considering operation over different tiers and frequency bands. TDD operation is naturally suited to massive MIMO and can offer "massive MIMO" gains, with simple in-cell processing, low overheads and low end-to-end latencies. We also briefly describe some important massive MIMO activities towards 5G, including standardization efforts, system development and experimental trials.

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Experimental evaluation of downlink transmission and beam tracking performance for 5G mmW radio access in indoor shielded environment

Cited by 16 publications

References 3 publications

Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications

Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications

User level performance analysis of multi-hop in-band backhaul for 5G

Massive MIMO Technologies and Challenges towards 5G

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