Resilience–throughput–power trade-off in future 5G photonic networks

Ladányi, Ákos; Cinkler, Tibor

doi:10.1007/s11107-019-00842-2

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…PON is a point-to-multipoint technology that sends data from the central office to the end user via a passive splitter, allowing for efficient use of fiber resources. Furthermore, PON has low-latency connections and can handle a large volume of data traffic [ 21 , 22 ]. ITU-T and full-service access network (FSAN) proposed next-generation passive optical network 2 (NG-PON2) as the next evolution of PONs to meet user expectations by increasing the transmission speed in PONs to more than 10 Gbps.…”

Section: Xran Architecture Developments and Fronthaul Enabling Techno...mentioning

confidence: 99%

Design of Cost-Efficient Optical Fronthaul for 5G/6G Networks: An Optimization Perspective

Fayad

Cinkler

Rak

et al. 2022

Sensors

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Currently, 5G and the forthcoming 6G mobile communication systems are the most promising cellular generations expected to beat the growing hunger for bandwidth and enable the fully connected world presented by the Internet of Everything (IoE). The cloud radio access network (CRAN) has been proposed as a promising architecture for meeting the needs and goals of 5G/6G (5G and beyond) networks. Nevertheless, the provisioning of cost-efficient connections between a large number of remote radio heads (RRHs) in the cell sites and the baseband unit (BBU) pool in the central location, known as the fronthaul, has emerged as a new challenge. Many wired and wireless solutions have been proposed to address this bottleneck. Specifically, optical technologies presented by passive optical networks (PONs) are introduced as the best suitable solution for 5G and beyond network fronthaul due to their properties of providing high capacity and low latency connections. We considered time and wavelength division multiplexed passive optical networks (TWDM-PONs) as a fronthaul for 5G and beyond. Taking that into consideration, in this paper, we propose an integer linear program (ILP) that results in the optimal optical fronthaul deployment while minimizing the total cost of 5G and beyond instances. However, for larger network instances, solving the ILP problem becomes unscalable and time-consuming. To address that, we developed two heuristic-based algorithms (the K-means clustering algorithm and the one based on the genetic algorithm—GA). We evaluated the suitability of our proposed ILP and heuristic algorithms in simulations by utilizing them to plan different network instances (dense and sparse).

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Section: Xran Architecture Developments and Fronthaul Enabling Techno...mentioning

confidence: 99%

Design of Cost-Efficient Optical Fronthaul for 5G/6G Networks: An Optimization Perspective

Fayad

Cinkler

Rak

et al. 2022

Sensors

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“…They have a point-to-multipoint topology, which allows for effective use of fiber resources. Moreover, they provide low latency and support a massive volume of data traffic [7], [8]. TWDM-PON (time-and wavelength-division multiplexed passive optical network) has received much attention for next-generation optical access systems.…”

Section: Introductionmentioning

confidence: 99%

“…7 illustrate the examples of fronthaul deployment options provided by our optimization methodology for the tested region where the delay threshold is 30 µs, and the splitting ratios are 1:4, 1:8, and 1:16, respectively. The blue dots refer to RU/ONU locations, the red squares indicate the optimal splitter locations, and the purple lozenges indicate the optimal central office locations.…”

mentioning

confidence: 99%

Planning a Cost-Effective Delay-Constrained Passive Optical Network for 5G Fronthaul

Fayad

Jha

Cinkler

et al. 2022

2022 International Conference on Optical Network Design and Modeling (ONDM)

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With the rapid growth in the telecommunications industry moving towards 5G and beyond (5GB) and the emergence of data-hungry and time-sensitive applications, Mobile Network Operators (MNOs) are faced with a considerable challenge to keep up with these new demands. Cloud radio access network (CRAN) has emerged as a cost-effective architecture that improves 5GB performance. The fronthaul segment of the CRAN necessitates a high-capacity and low-latency connection. Optical technologies presented by Passive Optical Networks (PON) have gained attention as a promising technology to meet the fronthaul challenges. In this paper, we proposed an Integer Linear Program (ILP) that optimizes the total cost of ownership (TCO) for 5G using CRAN architecture under different delay thresholds. We considered the Time and Wavelength Division Multiplexing Passive Optical Network (TWDM-PON) as a fronthaul with different splitting ratios.

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“…µBSs fill these coverage gaps by extending the network's reach, especially in areas with weak or no signal reception. By bringing the network closer to the users, µBSs ensure improved signal quality, reduced latency, and higher data rates[21],[22]. Offloading Macro Base Stations: µBSs help offload traffic from macro cells, which provides coverage over larger areas.…”

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confidence: 99%

Optimal Slicing of mmWave Micro Base Stations for 5G and Beyond

Fayad,

Cinkler

2023

J-NaNA

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5G and beyond 5G mobile networks are expected to cater to diverse needs by efficiently allocating network resources based on demand. Network slicing is a fundamental approach that involves segregating and allocating network resources distinctly to a group of users based on their individual needs, and it is widely recognized as an essential concept that caters to various requirements. Allocating such slices will encounter conflicting requests, and effectively implementing network slicing presents multiple challenges. Effective network slicing necessitates efficient management of priority levels among diverse slices. Network slicing necessitates efficient management of priority levels across various slices, specifically focusing on three distinctive categories: Ultra-Reliable Low Latency Communications (URLLC), enhanced Mobile Broadband (eMBB), and massive Machine Type Communications (mMTC). This paper proposes an optimization framework utilizing a Mixed Integer Linear Program (MILP) to allocate network resources for multiple slices efficiently. Our framework aims to maximize user satisfaction while ensuring that the specific requirements of each slice are met. We categorize the slices into three priority levels: the URLLC slice holds the highest priority, followed by the eMBB slice, and finally, the mMTC slice receives the least priority. By leveraging our proposed MILP-based approach, we dynamically assign network resources to different slices, considering their priority levels. This allocation strategy enables us to optimize resource utilization and effectively meet the diverse demands of users across various slices. Our framework provides a balance between meeting the stringent requirements of the URLLC slice, delivering high-quality services to the eMBB slice, and accommodating the massive connectivity needs of the mMTC slice.

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Resilience–throughput–power trade-off in future 5G photonic networks

Cited by 10 publications

References 20 publications

Design of Cost-Efficient Optical Fronthaul for 5G/6G Networks: An Optimization Perspective

Design of Cost-Efficient Optical Fronthaul for 5G/6G Networks: An Optimization Perspective

Planning a Cost-Effective Delay-Constrained Passive Optical Network for 5G Fronthaul

Optimal Slicing of mmWave Micro Base Stations for 5G and Beyond

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