Dimensioning of the LTE access transport network for elastic internet traffic

Li, X.; Toseef, Umar; Weerawardane, Thushara; Bigos, W.; Dulas, D.; Goerg, Carmelita; Timm‐Giel, Andreas; Klug, A.

doi:10.1109/wimob.2010.5645043

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…Thus, this policy guarantees that there can be at most T + 1 ongoing SU flows in the network. Equation (17) shows that the break-even price r * 2 is independent of the secondary demand λ2. Therefore, we can set λ2 = ∞.…”

Section: Profitability Analysismentioning

confidence: 99%

“…However, their rate is adjusted when the network is saturated, in order to prevent congestion. Motivated by the dimensioning of Long Term Evolution (LTE) access networks for elastic traffic [17], we model the network as a processor sharing network for which the bandwidth is not partitioned but rather shared between admitted users according to a bandwidth allocation scheme. In processor sharing networks there is no tight bound on the number of users that can be served simultaneously.…”

Section: Introductionmentioning

confidence: 99%

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Admission Control and Profitability Analysis in Dynamic Spectrum Access Data Networks

Kockan

Starobinski

2014

Proceedings of the 7th International Conference on Performance Evaluation Methodologies and Tools

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New regulations grant network service providers with the right to lease their spectrum to short-term leased secondary users (SUs) for opportunistic usage. In this work, we tackle the challenge of determining admission control and pricing policies on SUs that guarantee profitability under general secondary demand and general traffic models, and accurately reflect the operation of modern cellular data networks (e.g., LTE) in which resources are shared rather than rigidly partitioned. We first analyze the joint problem of bandwidth allocation and admission control of elastic secondary users. We assume Poisson session arrivals, where each session is composed of arbitrarily distributed, and possibly correlated, on and off periods. Under balanced bandwidth allocation, we show that the steady state distribution of the number of active users in the network is insensitive to traffic characteristics beyond their means. This result holds for arbitrary occupancy-based admission control policies on SUs. Next, we prove that the optimal occupancy-based admission control policy is of threshold type, which means that secondary user arrivals are accepted when the total number of active users in the network is below a certain threshold; otherwise, they are rejected. Finally, we identify a price, referred to as the break-even price, and an admission control policy which, together, ensure profitability for any price greater than the break-even price, irrespective of the shape of the secondary demand function.

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Section: Profitability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Admission Control and Profitability Analysis in Dynamic Spectrum Access Data Networks

Kockan

Starobinski

2014

Proceedings of the 7th International Conference on Performance Evaluation Methodologies and Tools

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show abstract

“…Bandwidth was the main concern in this paper, but signalling and control parameters were not taken into consideration. The M/G/R-PS model discussed in [2] is also used in [3] to dimension the bandwidth of elastic traffic for LTE networks. This model measures the bandwidth of the eNB required to be handled by the inbound and outbound interfaces to carry elastic traffic.…”

Section: Introductionmentioning

confidence: 99%

Data and Control Plane Traffic Modelling for LTE Networks

2015

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LTE networks constitute a major evolution toward the All-IP concept; therefore, an efficient design/planning of these networks is crucial for providing various IP-based services such as VoIP and Rich Communication Services (RCS). Also, due to the heterogeneity of access technologies supported by the mobile core network, referred to as the Evolved Packet Core (EPC), the planning aspect becomes very important and is still a challenging task. Traffic modelling is an important part of the whole network planning process. Previous traffic modelling approaches tend to collect measurements regardless of how time consuming it is considered, while others find it easier to assume or predict values. The traffic model proposed in this paper considers different realistic parameters that can be used for LTE network planning and optimization. In fact, previous LTE planning work did not include all the parameters needed for the network planning process; their focus was mainly on bandwidth where other parameters were not considered. Therefore, it was necessary to come up with reasonable traffic profiles that take into consideration a variety of practical aspects such as signalling, bandwidth, busy hour session attempts and number of simultaneous EPS (Evolved Packet Systems) bearers. The traffic model proposed in this paper is considered a very important part of the network planning process for the EPC. The proposed solution is beneficial for Mobile Network Operators (MNOs) while they are in the deployment phase of 4G/LTE networks.

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Impact of Offloading on the Efficiency of Wireless Access Networks

Agamy

Mohamed

2020

Int J Wireless Inf Networks

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Dimensioning of the LTE access transport network for elastic internet traffic

Cited by 5 publications

References 5 publications

Admission Control and Profitability Analysis in Dynamic Spectrum Access Data Networks

Admission Control and Profitability Analysis in Dynamic Spectrum Access Data Networks

Data and Control Plane Traffic Modelling for LTE Networks

Impact of Offloading on the Efficiency of Wireless Access Networks

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