Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices

Adamuz-Hinojosa, Oscar; Ameigeiras, Pablo; Muñoz, Pablo; López-Soler, Juan M.

doi:10.1109/wcnc49053.2021.9417351

Cited by 6 publications

(5 citation statements)

References 13 publications

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“…To simplify, the authors focuses solely on a single user class. In contrast, another study [32] employed multi-dimensional model, aligned with a Markov process, exhibits insensitivity to the distribution of UE session duration, as the state probabilities exclusively rely on the mean service time [34]. However, this model imposes constraints on inter-dimensional dependence, limiting the number of UEs for a specific zone to an upper bound.…”

Section: Limitations Of the Current Modelmentioning

confidence: 99%

Discontinuous Reception Based Energy-Efficient User Association for 5G Heterogeneous Networks

Sharma,

Liang,

2024

IEEE Access

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5G Heterogeneous Network (HetNet) allows User Equipment (UEs) massive connections and various applications, which results in an exponential increase in the data traffic. This leads to massive overloading at co-tier and inter-tier levels, UE power inefficiency at the cell edge, and complexing Quality of Service (QoS) support. In this paper, we propose a scheme to solve the load balancing among Base Stations (BSs) while, enhancing power efficiency and guaranteeing QoS of UEs. The proposed heuristic scheme consists of three phases. The first phase addresses the UE's Discontinuous Reception (DRX) configuration parameters, the second phase evaluates overloading, and the third phase offloads the data from the overloaded BS to other BS. We have categorized the performance indicators, 1) User performance parameters (UPP) such as DRX power saving, packet drop rate, and end-to-end delay, 2) Network Performance Parameters (NPP) such as throughput. To validate, we design an analytical model based on a two-dimensional continuous-time Markov chain (2D-CTMC) and semi-Markov, and a simulator that validates the scheme performance. The results show that the proposed scheme enhances the performance in terms of UPP and the NPP. INDEX TERMS Heterogeneous Network (HetNet), Discontinuous Reception/Transmission (DRX/DTX), load balancing, Quality of Service (QoS), continuous-time Markov chain (CTMC), semi-Markov I. INTRODUCTION 1 This article has been accepted for publication in IEEE Access.

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Section: Limitations Of the Current Modelmentioning

confidence: 99%

Discontinuous Reception Based Energy-Efficient User Association for 5G Heterogeneous Networks

Sharma,

Liang,

2024

IEEE Access

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“…Finally, to model the probability of blocking the data session of a UE u ∈ U m i served by the RAN slice m in cell i, i.e., B i,m , we use the analytical model which we proposed in [44]. In this model, we consider a multi-dimensional Erlang-B system where each dimension represents a specific range of values for the average SINR which a UE could perceive in the cell.…”

Section: Traffic Modelmentioning

confidence: 99%

“…For more detailed information about the model for the UE blocking probability, we recommend the reader to see [44].…”

Section: Traffic Modelmentioning

confidence: 99%

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Potential-Game-Based 5G RAN Slice Planning for GBR Services

et al. 2023

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The Radio Access Network (RAN) slice planning is a key phase within the RAN slice management and orchestration process. Based on the performance requirements of requested RAN slices and key performance indicators of the RAN and existing RAN slices, the RAN slice planning mainly consists of deciding (a) the feasibility of deploying new RAN slices; (b) re-configuring the existing RAN accordingly; and (c) the need to renegotiate the Service Level Agreements (SLAs) and/or expand the RAN (i.e., radio resources, carriers, cells etc) if one or more RAN slices cannot be accommodated in a first attempt. Under this context, we propose a framework for planning RAN slices which require their data sessions get a Guaranteed Bit Rate (GBR) and the probability of blocking such sessions is below a threshold. To meet such requirements, our framework plans the amount of prioritized radio resources for new and already deployed RAN slices. We formulate the RAN slice planning as multiple ordinal potential games and demonstrate the existence of a Nash Equilibrium solution which minimizes the average probability of blocking data sessions for all the RAN slices. We perform detailed simulations to demonstrate the effectiveness of the proposed solution in terms of performance, and renegotiation capability.INDEX TERMS blocking probability, game theory, GBR services, radio resource allocation, RAN slicing planning.

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“…Operators can plan how many network resources should be deployed, according to the estimated traffic load and QoS requirements, or determine how much service load can be admitted according to the existing available network bandwidth. For example, cellular network operators determine the locations and frequency bands for base stations, on the basis of the statistical user distribution and acceptable blocking probability levels [5,6]. In the Infrastructure as a Service (IaaS) business model, traditional providers are decoupled into Infrastructure Providers (InPs) and Service Providers (SPs) [7].…”

Section: Introductionmentioning

confidence: 99%

Link Load Correlation-Based Blocking Performance Analysis for Tree-Type Data Center Networks

Suo

Wang

2022

Applied Sciences

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With the explosive growth of cloud computing applications, the east-west traffic among servers has come to occupy the dominant proportion of the traffic in data center networks (DCNs). Cloud computing tasks need to be executed in a distributed manner on multiple servers, which exchange large amounts of intermediate data between the adjacent stages of each multi-stage task. Therefore, the congestion in DCNs can reduce the processing performance when conducting multi-stage tasks. To address this, the relationship between the blocking performance and the traffic load can be adopted as a theoretical basis for network planning and traffic engineering. In this paper, the traffic load correlation between edge links and aggregation links is considered, and an iterative blocking performance analysis method is proposed for two-layer tree-type DCNs. The simulation results show the good accuracy of the proposed method with respect to the theoretical results especially in the blocking rate range below 4% and with over-subscription ratio 1.5.

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Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices

Cited by 6 publications

References 13 publications

Discontinuous Reception Based Energy-Efficient User Association for 5G Heterogeneous Networks

Discontinuous Reception Based Energy-Efficient User Association for 5G Heterogeneous Networks

Potential-Game-Based 5G RAN Slice Planning for GBR Services

Link Load Correlation-Based Blocking Performance Analysis for Tree-Type Data Center Networks

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