Beam Management in mmWave 5G NR: an Intra-Cell Mobility Study

Fernandes, Filipa; Rom, Christian; Harrebek, Johannes; Berardinelli, Gilberto

doi:10.1109/vtc2021-spring51267.2021.9448783

Cited by 11 publications

(3 citation statements)

References 11 publications

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“…However, the authors of [25] viewed the existing works in terms of beam and mobility management in mmWave cellular networks. The authors of [26] presented a sensitivity study on the stability of the selected beams, which is measured by the time-of-stay of beams, the mmWave link quality under different operational conditions with respect to UE mobility, propagation environment, and operational bands. But they did not discuss how to ensure the stability of the beam performance.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Radio Resource Allocation Scheme considering Terminal Mobility in Dense mmWave Cellular Networks

Gui

Liu

Zhou

2022

Wireless Communications and Mobile Computing

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In millimeter wave (mmWave) communication systems, beamforming-enabled directional transmission and network densification are commonly used to reduce high path loss and improve signal coverage quality. The combination of the two approaches will pose a challenge to radio resource allocation, which is especially true when terminals move frequently. The existing works presented some effective solutions for resource allocation in dense mmWave cellular networks, but they assumed that terminals move infrequently. So, these works cannot be directly applied to the dense mmWave cellular networks where terminals move frequently. In this paper, based on the results of the existing beamforming training (BFT) information-aided radio resource allocation algorithm, we propose a relay selection method to select a set of reasonable relays to take over the terminals whose performance deteriorates due to movement, which can ensure that each selected relay is as close as possible to the original performance of the corresponding moved terminal. Then, the resource allocation problem between the Device to Device (D2D) links from the selected relays to the corresponding moved terminals is formulated as a potential game model. By designing the utility function reasonably, the resource allocation results on the D2D links can converge to a Nash equilibrium solution. The simulation results show that the proposed scheme adapts to the scenario with frequent terminal movement, restrains the sharp performance decline caused by terminal movement, and outperforms the existing related algorithms in terms of average energy efficiency and throughput per link.

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Section: Related Workmentioning

confidence: 99%

An Efficient Radio Resource Allocation Scheme considering Terminal Mobility in Dense mmWave Cellular Networks

Gui

Liu

Zhou

2022

Wireless Communications and Mobile Computing

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“…The authors in [13] designed a low-cost beamforming module-assisted hybrid architecture and proposed a fast beam training method. The authors in [14] studied the sensitivity of the beam stability selected by the base station. By observing different operating frequencies, dynamic channel characteristics, and different user mobility, they found that the perceived timeof-stay of the beam will be affected by beam management parameterization.…”

Section: Related Workmentioning

confidence: 99%

Enhancing energy efficiency for cellular-assisted vehicular networks by online learning-based mmWave beam selection

Gui

Liu

2022

J Wireless Com Network

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Millimeter Wave (mmWave) technology has been regarded as a feasible approach for future vehicular communications. Nevertheless, high path loss and penetration loss raise severe questions on mmWave communications. These problems can be mitigated by directional communication, which is not easy to achieve in highly dynamic vehicular communications. The existing works addressed the beam alignment problem by designing online learning-based mmWave beam selection schemes, which can be well adapted to high dynamic vehicular scenarios. However, this kind of work focuses on network throughput rather than network energy efficiency, which ignores the consideration of energy consumption. Therefore, we propose an Energy efficiency-based FML (EFML) scheme to compensate for this shortfall. In EFML, the energy consumption is reduced as far as possible under the premise of meeting the basic data rate requirements of vehicle users, and the users requesting the same content in close proximity can be organized into the same receiving group to share the same mmWave beam. The simulation results demonstrate that, compare with the comparison method with best energy efficiency, the proposed EFML improves energy efficiency by 17–41% in different scenarios.

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“…The authors in [4]- [6] investigate 5G-NR beam management and discuss the associated overhead. To describe how long the BS beam provides the best possible link quality, the sensitivity of the served beam-to-UE mobility under different operating frequencies and channel dynamics was studied in [7].…”

Section: Introductionmentioning

confidence: 99%

Channel Charting Assisted Beam Tracking

Kazemi

Al-Tous

Studer

et al. 2022

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

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We propose a novel beam-tracking algorithm based on channel charting (CC) which maintains the communication link between a base station (BS) and a mobile user equipment (UE) in a millimeter wave (mmWave) mobile communications system. Our method first uses large-scale channel state information information at the BS in order to learn a CC. The points in the channel chart are then annotated with the signal-to-noise ratio (SNR) of best beams. One can then leverage this CC-to-SNR mapping in order to track strong beams between UEs and BS efficiently and robustly at very low beam-search overhead. Simulation results in a mmWave scenario show that the performance of the CC-assisted beam tracking method approaches that of an exhaustive beam-search approach while requiring significantly lower beam-search overhead than conventional tracking methods.

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Beam Management in mmWave 5G NR: an Intra-Cell Mobility Study

Cited by 11 publications

References 11 publications

An Efficient Radio Resource Allocation Scheme considering Terminal Mobility in Dense mmWave Cellular Networks

An Efficient Radio Resource Allocation Scheme considering Terminal Mobility in Dense mmWave Cellular Networks

Enhancing energy efficiency for cellular-assisted vehicular networks by online learning-based mmWave beam selection

Channel Charting Assisted Beam Tracking

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