Millimeter-Wave NR-U and WiGig Coexistence: Joint User Grouping, Beam Coordination, and Power Control

Xu, Xiaoxia; Chen, Qimei; Jiang, Hao; Huang, Jun

doi:10.1109/twc.2021.3111707

Cited by 11 publications

(6 citation statements)

References 27 publications

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“…Specifically, an ingress container (Object Detection Ingress) receives the gRPC request and, in turn, calls a YOLO container [48] that uses OpenCV [49], and specifically its Darknet engine [50]. 3 The output of the Darknet engine is a list of bounding boxes corresponding to the detected objects, and each box has a label related to the type of object detected (person, car, etc.). The Object Detection Ingress enriches this list with some service metrics, and sends it back to the robot.…”

Section: B Navigation Controlmentioning

confidence: 99%

“…Instance switching occurs when the application changes the data center that serves it, as the new data center has another instance of the Object Detection microservice. In addition, instance switching can also take place 3 If CUDA GPU acceleration is available and enabled, NVIDIA cuDNN [51] is leveraged to accelerate the detection. when the cloud/edge orchestrator (i.e., Kubernetes) decides to increase the number of replicas of the microservice.…”

Section: B Navigation Controlmentioning

confidence: 99%

“…Along with 5G, IEEE 802.11ad is a Wi-Fi wireless communication standard designed for operation over mmWave links in the V band (at 60 GHz), with multi-GHz bandwidth channels, offering improved performance on short-range static links, thanks to beamforming and multi-gigabit access speeds [2]. IEEE 802.11ad can work indoors, but also outdoors, and can coexist with 5G networks [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

AI-Driven Ground Robots: Mobile Edge Computing and mmWave Communications at Work

Baruffa,

Detti,

Rugini

et al. 2024

IEEE Open J. Commun. Soc.

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The seamless integration of multiple radio access technologies (multi-RAT) and cloud/edge resources is pivotal for advancing future networks, which seek to unify distributed and heterogeneous computing and communication resources into a cohesive continuum system, tailored for mobile applications. Many research projects and focused studies are proposing solutions in this area, the impact of which is undoubtedly increased by moving from theoretical and simulation studies to experimental validations. To this aim, this paper proposes a testbed architecture that combines contemporary communication and cloud technologies to provide microservice-based mobile applications with the ability to offload part of their tasks to cloud/edge data centers connected by multi-RAT cellular networks. The testbed leverages Kubernetes, Istio service mesh, OpenFlow, public 5G networks, and IEEE 802.11ad mmWave (60 GHz) Wi-Fi access points. The architecture is validated through a use case in which a ground robot autonomously follows a moving object by using an artificial intelligence-driven computer vision application. Computationally intensive navigation tasks are offloaded by the robot to microservice instances, which are executed on demand within cloud and edge data centers that the robot can exploit during its journey. The proposed testbed is flexible and can be reused to assess communication and cloud innovations focusing on multi-RAT cloud continuum scenarios.

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Section: B Navigation Controlmentioning

confidence: 99%

Section: B Navigation Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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AI-Driven Ground Robots: Mobile Edge Computing and mmWave Communications at Work

Baruffa,

Detti,

Rugini

et al. 2024

IEEE Open J. Commun. Soc.

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“…The availability of abundant unlicensed bandwidth in the 60 GHz millimeter-wave frequency band poses a key challenge of ensuring fair coexistence of multiple technologies [2] [3]. The propagation characteristics of millimeter-wave channels in this frequency band significantly impact the coexistence of New Radio-based Access to Unlicensed Spectrum (NR-U) and WiGig systems, because they use highly directional narrow beams formed through beamforming to compensate for the path loss.…”

Section: Introductionmentioning

confidence: 99%

Research on improved adaptive spectrum access mechanism for millimetre wave

Guo

Fang

et al. 2023

Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023)

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Spectrum is a scarce and non-renewable resource. This paper proposes an improved adaptive spectrum access mechanism for unlicensed millimetre waves, which is based on the problem of low spectrum utilisation due to the high signalling overhead of the receiver-assisted Listen Before Talk (LBT) mechanism. By introducing an adaptive duty cycle to the receiver-assisted LBT frame structure, the system parameters can be adaptively adjusted to ensure that New Radio-based Access to Unlicensed Spectrum (NR-U) and Wireless Gigabit (WiGig) The two systems can coexist in a fair and harmonious manner. In addition, the proposed algorithm further increases the total network throughput of the NR-U system by combining spectrum resource allocation and transmission power, and improves the spectrum efficiency in both licensed and unlicensed bands. Simulation results show that the proposed mechanism is significantly better than the receiver-assisted LBT ones.

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“…However, the practical implementation of mmWave communications still faces various challenges, such as high propagation loss, susceptibility to blockage in daily environments (such as buildings, walls, humans, foliage, and even rain drops), and high hardware complexity [ 6 , 7 ]. These challenges historically make utilizing mmWave communications infeasible for mobile communications due to insufficient coverage and a lack of support for mobility, especially in non-line-of-sight (NLOS) environments [ 8 ]. However, mmWave communications are much more applicable for the 5G heterogeneous network (HetNet) with ultra-dense small cell deployment [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Self-Optimizing Traffic Steering for 5G mmWave Heterogeneous Networks

Zeng

Wang

Luo

2022

Sensors

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Driven by growing mobile traffic, millimeter wave (mmWave) communications have recently been developed to enhance wireless network capacity. Due to insufficient coverage and the lack of support for mobility, mmWave is often deployed in the ultra-dense small cells of the 5G heterogeneous network. In this article, we first summarize the characteristics of the 5G heterogeneous network from the viewpoints of devices, spectra, and networks. We then propose a triple-band network structure which incorporates licensed bands, sub-6GHz unlicensed bands, and mmWave bands to support various types of mobile users. Based on the novel network structure, we further propose a self-optimizing traffic steering strategy which can intelligently steer traffic to specific networks and spectra according to the dynamic network and traffic environments. Several use cases are also discussed to facilitate the implementation of our proposals. Finally, we present numerical results to demonstrate that the proposed network structure and strategy can effectively enhance the system throughput and energy efficiency.

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Millimeter-Wave NR-U and WiGig Coexistence: Joint User Grouping, Beam Coordination, and Power Control

Cited by 11 publications

References 27 publications

AI-Driven Ground Robots: Mobile Edge Computing and mmWave Communications at Work

AI-Driven Ground Robots: Mobile Edge Computing and mmWave Communications at Work

Research on improved adaptive spectrum access mechanism for millimetre wave

Self-Optimizing Traffic Steering for 5G mmWave Heterogeneous Networks

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