BackHauling-as-a-Service (BHaaS) for 5G Optical Sliced Networks: An Optimized TCO Approach

Haddaji, Nassim; Bayati, Abdolkhalegh; Nguyen, Kim Khoa; Cheriet, Mohamed

doi:10.1109/jlt.2018.2855148

Cited by 14 publications

(7 citation statements)

References 26 publications

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“…In addition to using Capex and Opex to estimate TCO, some studies also take cost assessments one step further by using estimates of revenue to generate useful metrics such as RoI (or the IRR) [35], [105], [106], [118], [134], [161], [162], broadly representing 11% of papers. Many in industry and government may favor metrics which capture both the supply-side cost as well as the potential demand-side revenue on the basis that a high TCO does not mean a network strategy is unviable if users have a high Willingness-To-Pay for the service and vice versa.…”

Section: Financial Metricsmentioning

confidence: 99%

“…Specifically, Elsevier contained more techno-economic papers which pertained to policy and economics, mainly due to the large number in Telecommunication Policy, especially following the 5G special issue in 2019. Approximately four paper (5%) exist in IEEE/Optica Publishing Group journals (such as the Journal of Lightwave Technology), focusing mainly on the optical networking aspects of network planning [129], network resilience [156] and backhauling [162].…”

Section: Evaluating the 5g Tea Sample Compositionmentioning

confidence: 99%

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Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies

Oughton

Lehr

2022

IEEE Access

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Section: Financial Metricsmentioning

confidence: 99%

Section: Evaluating the 5g Tea Sample Compositionmentioning

confidence: 99%

Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies

Oughton

Lehr

2022

IEEE Access

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“…Spatial engineering approaches to wireless networks are frequently considered from a theoretical perspective, often using random processes to synthesize networks for assessment. Topology planning is essential for efficient capacity utilization and thus cost efficiency (Haddaji, Bayati, Nguyen, & Cheriet, 2018;Jaber et al, 2016;Lee & Murray, 2010;Taufique, Jaber, Imran, Dawy, & Yacoub, 2017). Models often use spatial point methods, where user location is treated as a stationary Poisson point process, base station locations as a stationary Poisson cluster process and connecting internet nodes as a stationary mixed Poisson process (Suryaprakash & Fettweis, 2014).…”

Section: Review Of Digital Infrastructure Assessmentmentioning

confidence: 99%

The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc

Oughton

Russell

2020

Computers, Environment and Urban Systems

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The roll-out of 5G infrastructure can provide enhanced high capacity, low latency communications enabling a range of new use cases. However, to deliver the improvements 5G promises, we need to understand how to enhance capacity and coverage, at reasonable cost, across space and over time. In this paper, we take a spatiotemporal simulation modeling approach, using industry-standard engineering models of 5G wireless networks, to test how different infrastructure strategies perform under scenarios of uncertain future demand. We use coupled open-source models to analyze a UK growth corridor, a system-of-cities comprising 7 urban areas, known as the Oxford-Cambridge Arc. We find that population growth has a marginal impact on total demand for 5G (up to 15%), as the main factor driving demand is the increase in per user data consumption resulting mainly from video. Additionally, the results suggest only limited justification for deploying 5G based purely on the need for more capacity. Strategies which reuse existing brownfield Macro Cell sites are enough to meet future demand for Enhanced Mobile Broadband, except in the densest urban areas. While spatio-temporal analysis of infrastructure is common in some sectors (e.g. transport, energy and water), there has been a lack of open analysis of digital infrastructure. This study makes a novel contribution by providing an open and reproducible spatiotemporal assessment of different 5G technologies at a time when 5G is starting to roll-out around the world.

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“…To reduce the handover overheads, a new handover mechanism has been designed based on their proposed backhaul design. Haddaji et al [38] illustrated a cost of ownership backHauling-as-a-Service analysis method to improve the performance and accuracy of network planning. The existing solutions considered the parameters like reliability, flexibility, QoS without compromising the performance factors.…”

Section: General Framework and Solutionsmentioning

confidence: 99%

Security of 5G-Mobile Backhaul Networks: A Survey

Choudhary,

Kim,

Sharma

2019

Preprint

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The rapid involution of the mobile generation with incipient data networking capabilities and utilization has exponentially increased the data traffic volumes. Such traffic drains various key issues in 5G mobile backhaul networks. Security of mobile backhaul is of utmost importance; however, there are a limited number of articles, which have explored such a requirement. This paper discusses the potential design issues and key challenges of the secure 5G mobile backhaul architecture. The comparisons of the existing state-of-the-art solutions for secure mobile backhaul, together with their major contributions have been explored. Furthermore, the paper discussed various key issues related to Quality of Service (QoS), routing and scheduling, resource management, capacity enhancement, latency, security-management, and handovers using mechanisms like Software Defined Networking and millimeter Wave technologies. Moreover, the trails of research challenges and future directions are additionally presented.

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BackHauling-as-a-Service (BHaaS) for 5G Optical Sliced Networks: An Optimized TCO Approach

Cited by 14 publications

References 26 publications

Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies

Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies

The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc

Security of 5G-Mobile Backhaul Networks: A Survey

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