Efficient beam selection and resource allocation scheme for WiFi and 5G coexistence at unlicensed millimetre‐wave bands

Li, Pengru; Liu, Danpu

doi:10.1049/iet-com.2019.0746

Cited by 5 publications

(4 citation statements)

References 27 publications

(24 reference statements)

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“…Due to the scaling up of the network elements and the dependent increase in the amount of information, ML applications were discussed for massive MIMOs, cognitive radios, heterogeneous networks, and small cells at an early phase of the convergence of AI-ML methods and communications technologies [64]. The number of access nodes and antennas are also considered are evaluation parameters in the selected papers [53,55,58]. These parameters should be considered not only in the operations and management phases, but also during the cost-effective planning and pre-deployment phases of mmWave access and transport networks.…”

Section: Discussionmentioning

confidence: 99%

Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

2021

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Three convergent processes are likely to shape the future of the internet beyond-5G: The convergence of optical and millimeter wave radio networks to boost mobile internet capacity, the convergence of machine learning solutions and communication technologies, and the convergence of virtualized and programmable network management mechanisms towards fully integrated autonomic network resource management. The integration of network virtualization technologies creates the incentive to customize and dynamically manage the resources of a network, making network functions, and storage capabilities at the edge key resources similar to the available bandwidth in network communication channels. Aiming to understand the relationship between resource management, virtualization, and the dense 5G access and fronthaul with an emphasis on converged radio and optical communications, this article presents a review of how resource management solutions have dealt with optimizing millimeter wave radio and optical resources from an autonomic network management perspective. A research agenda is also proposed by identifying current state-of-the-art solutions and the need to shift all the convergent issues towards building an advanced resource management mechanism for beyond-5G.

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Section: Discussionmentioning

confidence: 99%

Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

2021

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“…The above approaches do not allow BSs and Wi-Fi access points (APs) to use unlicensed spectrum at the same time, leading to less efficient spectrum usage. Toward this end, many researchers tried to enhance spectrum efficiency by leveraging coexistence in the spatial dimension [8]- [12]. Beamforming is a directional transmission technology that can significantly improve system spectral efficiency and achieve interference-mitigated transmission in coexisting networks.…”

Section: Introductionmentioning

confidence: 99%

“…However, the proposed scheme cannot cope with the case when UEs and STAs are mobile. Li and Liu [12] proposed a fixed DFT (Discrete Fourier Transformation) codebook for beamforming vectors and applied resource allocation and power control to mitigate the interference to WiFi devices. However, the DFT codebook and beam selection are not flexible enough to deal with complex scenarios in two coexisting mobile communication systems.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a 5G NR Transmitter With Wi-Fi Coexistence by Beamforming and Power Control

Liu,

Ku,

Chiueh

2024

IEEE Open J. Commun. Soc.

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Telecom operators are under pressure to provide more spectrum resources to meet the increasing demand for high-throughput mobile communications. To achieve this, they have focused on unlicensed frequency bands, but the coexistence of 5G signals with other communication systems on these bands poses a challenge. To address this, beamforming technology has been introduced to reduce interference in space and enable independent demodulation of 5G and Wi-Fi signals. This paper implements a 5G base station (BS) prototype with an eight-antenna beamforming hardware transmitter, which concentrates the transmitted energy on individual 5G receivers while reducing the signal's impact on Wi-Fi receivers. Angle of arrival estimation and power control mechanisms are also integrated to enhance the efficiency of the solution. To verify the system coexistence, software-defined radio is used to realize 5G and Wi-Fi receivers. The proposed solution is demonstrated via over-the-air experiments to perform reliable transmission to multiple 5G receivers without interrupting Wi-Fi traffic on the same frequency band. The beamformer can also adjust its spatial profile and power level through environment-sensing functions built into the BS prototype. The proposed power control method delivers improved 5G transmitter and Wi-Fi transmitter energy performance by 50% and 51%, respectively.

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“…In addition, the optimization on the allocation of subcarriers or frequency sub-bands can also be considered. Authors in [17] proposed that cellular users can occupy spectrum holes alternately to reduce common channel interference in the high-frequency unlicensed scenario, where dual networks coexist. In [18], D2D users shared spectrum resources with cellular users through three common subcarrier allocation methods to improve the spectral efficiency in a single cell.…”

Section: Introductionmentioning

confidence: 99%

Joint Spectrum and Power Allocation with User Association for 5G/Wi-Fi Coexisting Millimeter Wave Networks

2023

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With the exponential growth of mobile data traffic, the deployment of a large number of devices in the hot-spot gathering scenario has brought great challenges to the current wireless communication network. Considering that the user service latency of unidirectional data offloading scheme is still unacceptable when 5G and Wi-Fi coexist on the unlicensed 60 GHz band, we investigate a bidirectional data offloading scheme with resource allocation in this study. More specifically, aggregation nodes (ANs) are deployed in the coverage of Wi-Fi AP to receive multi-user data in parallel in order to reduce the collision probability of transmitted packets. Then, we formulate an optimization problem aiming to maximize the sum rate through spectrum and power allocation as well as user association. The problem is then decomposed into three sub-problems and solved successively, where RSSI (received signal strength indicator) as the standard determines the user association, while the algorithms of multi-stage matching and successive convex approximation are used for solving spectrum allocation and power allocation, respectively. Simulation results demonstrate that the proposed algorithm can effectively increase the total capacity of the uplink coexisting networks.

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Efficient beam selection and resource allocation scheme for WiFi and 5G coexistence at unlicensed millimetre‐wave bands

Cited by 5 publications

References 27 publications

Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

Design and Implementation of a 5G NR Transmitter With Wi-Fi Coexistence by Beamforming and Power Control

Joint Spectrum and Power Allocation with User Association for 5G/Wi-Fi Coexisting Millimeter Wave Networks

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