Sensitivity Analysis on Service-Driven Network Planning

Francesco, Paolo Di; Kibiłda, Jacek; Malandrino, Francesco; Kaminski, Nicholas J.; DaSilva, Luiz A.

doi:10.1109/tnet.2016.2633417

Cited by 4 publications

(5 citation statements)

References 34 publications

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“…To that end, enabling the OSPs' intervention in resource management might be profitable for both OSPs and MNOs [8], as delivering high quality services is a primary goal for both parties. The cooperation of OSPs and MNOs for joint deployment of network infrastructure demonstrates their common interests [9]. The OSPs' intervention in VS allocation requires that the network architecture enables the OSP-MNO interaction exposing the network services, e.g., via application programming interfaces (APIs) [10].…”

Section: A Motivationmentioning

confidence: 99%

Matching Theory for Over-the-Top Service Provision in 5G Networks

Datsika

Antonopoulos

Yuan

et al. 2018

IEEE Trans. Wireless Commun.

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Modern over-the-top (OTT) applications can be accessed via Internet connections over cellular networks, possibly shared and managed by multiple mobile network operators (MNOs). The OTT service providers (OSPs) need to interact with MNOs, requesting resources for serving users of different categories and with different quality-of-service (QoS) requirements. For this purpose, OSPs need OTT application flow prioritization in resource allocation, while the network resource scheduling should respect network neutrality that forbids OSP prioritization. OSPs also need to request resources periodically, according to their performance goals, i.e., grade-of-service (GoS) level (blocking probability), causing delay in flows' accommodation due to i) the time required for information exchange between OSPs and MNOs, affected by network congestion, and ii) the time required for flows to receive resources, affected by the number of concurrently active flows. Acknowledging the lack of OSP-oriented resource management approaches, we i) introduce a novel matching theoretic flow prioritization (MTFP) algorithm that respects network neutrality, and ii) design analytical models that enable the thorough investigation of the GoS and delay performance in various scenarios. Our results (analytical and simulation) show that MTFP improves both metrics comparing to the best effort approach, whereas its performance is affected by the number of flows and the resource allocation frequency.

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Section: A Motivationmentioning

confidence: 99%

Matching Theory for Over-the-Top Service Provision in 5G Networks

Datsika

Antonopoulos

Yuan

et al. 2018

IEEE Trans. Wireless Commun.

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“…Through sensitivity analysis, decision makers can clearly understand which parameters have a greater impact on the evaluation results of the economic operation grade, and can select measures to improve the economic operation grade according to the sensitivity analysis result. In this paper, a sensitivity analysis method is proposed based on the work in [22,23] to evaluate the main parameters and the weights of the active power distribution network.…”

Section: Sensitivity Analysis Of Adn Economy Evaluationmentioning

confidence: 99%

“…Considering the actual operation of the active power distribution network and the relevant standards of the national electric power industry, we can obtain the evaluation grade boundary cloud model of each index by using (23) and (24), and the results are shown in Table VI. 3 Final evaluation results cloud model First, the correlation matrix cloud model for the cases 1 and 2 should be calculated. Because of the limitations of space, it is not shown here.…”

Section: Economical Operation Evaluation Of Adn 1 Index Weight Set Bamentioning

confidence: 99%

Evaluation and sensitivity analysis for economical operation of active distribution network

Zhu

Gao

et al. 2018

IEEJ Transactions Elec Engng

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memberWith the connection of a large number of distributed energy resources to the power grid, the problem of economical operation of an active distribution network (ADN) has restricted its application. According to the economics of ADN operation, an innovative evaluation index system is proposed and a cloud model is established for evaluating the economical operation of an ADN. In addition, a sensitivity analysis is carried out on the value and weight of the index value. First, the ADN accommodation profit rate, ADN loss contribution rate, etc. are defined. In addition, an evaluation index system is established for the economical operation of ADNs. Index weight cloud model, evaluation grade boundary cloud model, correlation evaluation matrix cloud model, and final evaluation results cloud model are proposed based on the three numeric characteristics of the cloud model, namely expectation value (Ex), entropy (En), and hyper entropy (He). Our evaluation results are close to the actual ones considering uncertainty. Besides, a method for analyzing the the index value and index weight is proposed, which provides a basis for improving the economical operation of ADNs. Finally, simulation results demonstrate the rationale and validity of the index system and the evaluation method of the cloud model, as well as the practicability of sensitive analysis.

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“…The intervention of OSPs in resource management of flows can be profitable for both OSPs and MNOs, as delivering high quality services is a goal of both parties. Notably, cooperation of OSPs and MNOs for the joint deployment of network infrastructure has demonstrated their common interests [5]. However, it is not clear how the resources can be shared among OSPs, when flows of different priorities coexist.…”

Section: Introductionmentioning

confidence: 99%

Green Resource Management for Over-the-Top Services in 5G Networks Using Matching Theory

Datsika¹,

Antonopoulos²,

Passas³

et al. 2018

2018 IEEE International Conference on Communications (ICC)

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Nowadays, over-the-top (OTT) applications can be accessed via Internet connections over cellular networks. Mobile network operators (MNOs) strive to accommodate mobile traffic through energy efficient shared networks. The OTT service providers (OSPs) need to interact with MNOs and require resources for offering desired quality-of-service (QoS) levels to users of different categories, with different QoS requirements, which imply prioritization of certain OTT flows. Resource scheduling should respect network neutrality, which forbids OSP prioritization. Furthermore, OSPs request resources periodically, according to their performance goals, causing delay in flows' accommodation due to i) the time required for information exchange between OSPs and MNOs, affected by network congestion, and ii) the time required for flows to receive resources, affected by the number of active flows. The intervention of OSPs may induce additional energy cost for the MNOs and affect the mobile network energy efficiency. Acknowledging the lack of OSP-oriented resource management approaches, we introduce a matching theoretic flow prioritization (MTFP) algorithm and investigate delay and energy efficiency through extensive simulations. Our study shows that MTFP improves both metrics comparing to the best effort approach, whereas its performance is affected by the OTT traffic level and the frequency of resource allocation process.

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Sensitivity Analysis on Service-Driven Network Planning

Cited by 4 publications

References 34 publications

Matching Theory for Over-the-Top Service Provision in 5G Networks

Matching Theory for Over-the-Top Service Provision in 5G Networks

Evaluation and sensitivity analysis for economical operation of active distribution network

Green Resource Management for Over-the-Top Services in 5G Networks Using Matching Theory

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