Service-Based Network Dimensioning for 5G Networks Assisted by Real Data

Khan, M. Umar; García‐Armada, Ana; Escudero-Garzás, J. Joaquín

doi:10.1109/access.2020.3009127

Cited by 13 publications

(37 citation statements)

References 54 publications

(75 reference statements)

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“…There has been a focus on new technological opportunities to provide enhanced capacity and coverage [38]- [44], as well as the cybersecurity issues that could arise [45]- [50].…”

Section: Why 5g Policy Matters To Engineersmentioning

confidence: 99%

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Supportive 5G Infrastructure Policies are Essential for Universal 6G: Assessment Using an Open-Source Techno-Economic Simulation Model Utilizing Remote Sensing

Oughton

Jha²

2021

IEEE Access

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Work has now begun on the sixth generation of cellular technologies ('6G') and cost-efficient global broadband coverage is already becoming a key pillar. Indeed, we are still far from providing universal and affordable broadband connectivity, despite this being a key part of the Sustainable Development Goals (Target 9.c). Currently, both Mobile Network Operators and governments still lack independent analysis of the strategies that can help achieve this target with the cellular technologies available (4G and 5G). Therefore, this paper undertakes a quantitative assessment demonstrating how current 5G policies affect universal broadband, drawing conclusions over how decisions made now affect future evolution to 6G. Using a method based on an open-source techno-economic codebase, combining remote sensing with least-cost network algorithms, performance analytics are provided for different 4G and 5G universal broadband strategies. As an example, the assessment approach is applied to India, the world's second-largest mobile market and a country with very high spectrum prices. The results demonstrate the trade-offs between technological decisions. This includes demonstrating how important current infrastructure policy is, particularly given fiber backhaul will be essential for delivering 6G quality of service. We find that by eliminating the spectrum licensing costs, 100% 5G population coverage can viably be achieved using fiber backhaul. Therefore, supportive infrastructure policies are essential in providing a superior foundation for evolution to future cellular generation, such as 6G.

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“…There has been a focus on new technological opportunities to provide enhanced capacity and coverage [38]- [44], as well as the cybersecurity issues that could arise [45]- [50].…”

Section: Why 5g Policy Matters To Engineersmentioning

confidence: 99%

“…There has been a focus on new technological opportunities to provide enhanced capacity and coverage [64]- [77], as well as cybersecurity issues [78]- [82], particularly how these may, directly and indirectly, affect industrial sectors [83], [84].…”

Section: Why 5g Policy Matters To Engineersmentioning

confidence: 99%

Supportive 5G Infrastructure Policies are Essential for Universal 6G: Assessment Using an Open-Source Techno-Economic Simulation Model Utilizing Remote Sensing

Oughton

Jha²

2021

IEEE Access

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“…In our problem, we assume that MNOs will reuse the existing 4G towers for 5G FWA, hence our focus is on quantifying the number of FWA homes that can be provided a MBR in both the DL and UL. Another recent paper used crowdsourced data to dimension existing BSs and determine the appropriate per-site NR configurations required to support new 5G services [16]; however, their dimensioning process was based on peak DL data rate requirements.…”

Section: Related Workmentioning

confidence: 99%

“…, Û ( ) }. This computation uses the approximated MCS function (16). After determining the optimal powers { , , } we compute the per-stream SINRs for all the streams in each home in the group Û for each PRB corresponding to subchannels in C ( Û), i.e., , , = , , , and map the result through the practical 3GPP MCS function to determine the real rate ¯ , , assigned to each user stream in each PRB.…”

Section: A Downlink Formulationmentioning

confidence: 99%

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Planning 5G Networks for Rural Fixed Wireless Access

Lappalainen,

Zhang,

Rosenberg

2021

Preprint

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We study the planning of a rural 5G multi-user massive MIMO fixed wireless access system to offer fixed broadband service to homes. Specifically, we aim to determine the user limit, i.e., the maximum number of homes that can simultaneously receive target minimum bit rates (MBRs) on the downlink (DL) and on the uplink (UL) given a set of network resources and a cell radius. To compute that limit, we must understand how resources should be shared between the DL and UL and how user and stream selection, precoding and combining, and power distribution should be performed. We use block diagonalization and propose a static grouping strategy that organizes homes into fixed groups (of possibly different sizes) in the DL and UL; then we develop a simple approach to compute the user limit that we validate numerically. We study the impact of group size and show that smaller groups yield larger user limits in a 3.5 GHz band. We show how the user limit at different cell radii is impacted by the system bandwidth, the number of antennas at the BS and homes, the BS power, and the DL and UL MBRs. Lastly, we offer insights into how the network could be operated.

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Unsupervised Clustering for 5G Network Planning Assisted by Real Data

et al. 2022

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The fifth-generation (5G) of networks is being deployed to provide a wide range of new services and to manage the accelerated traffic load of the existing networks. In the present-day networks, data has become more noteworthy than ever to infer about the traffic load and existing network infrastructure to minimize the cost of new 5G deployments. Identifying the region of highest traffic density in megabyte (MB) per km 2 has an important implication in minimizing the cost per bit for the mobile network operators (MNOs). In this study, we propose a base station (BS) clustering framework based on unsupervised learning to identify the target area known as the highest traffic cluster (HTC) for 5G deployments. We propose a novel approach assisted by real data to determine the appropriate number of clusters k and to identify the HTC. The algorithm, named as NetClustering, determines the HTC and appropriate value of k by fulfilling MNO's requirements on the highest traffic density MB/km 2 and the target deployment area in km 2 . To compare the appropriate value of k and other performance parameters, we use the Elbow heuristic as a benchmark. The simulation results show that the proposed algorithm fulfills the MNO's requirements on the target deployment area in km 2 and highest traffic density MB/km 2 with significant cost savings and achieves higher network utilization compared to the Elbow heuristic. In brief, the proposed algorithm provides a more meaningful interpretation of the underlying data in the context of clustering performed for network planning.

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Service-Based Network Dimensioning for 5G Networks Assisted by Real Data

Cited by 13 publications

References 54 publications

Supportive 5G Infrastructure Policies are Essential for Universal 6G: Assessment Using an Open-Source Techno-Economic Simulation Model Utilizing Remote Sensing

Supportive 5G Infrastructure Policies are Essential for Universal 6G: Assessment Using an Open-Source Techno-Economic Simulation Model Utilizing Remote Sensing

Planning 5G Networks for Rural Fixed Wireless Access

Unsupervised Clustering for 5G Network Planning Assisted by Real Data

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