3G mobile network call admission control scheme using markov chain

Ng, Hilary; Ko, King-Tim; Tsang, Kim Fung

doi:10.1109/isce.2005.1502385

Cited by 7 publications

(7 citation statements)

References 5 publications

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“…Such schemes, however, cannot adapt to changes in traffic pattern due to the static nature. [8] CAC is such a provisioning management strategy to limit the number of users into the networks in order to decrease the network congestion, call blocking and call dropping. A good CAC scheme has to balance the call blocking and call dropping in order to provide the desired QoS requirements.…”

Section: Cac and Proposed Workmentioning

confidence: 99%

QoS Negotiation and Service Differentiation by CAC Scheme for 3G Wireless Cellular Networks

Patil¹,

Deshmukh²

2013

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Section: Cac and Proposed Workmentioning

confidence: 99%

QoS Negotiation and Service Differentiation by CAC Scheme for 3G Wireless Cellular Networks

Patil¹,

Deshmukh²

2013

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“…In mobile networks, Markov chain is used for call admission control [2], quality of experience (QoE) modeling [3], quality of service (QoS) modeling [4], efficient resource utilization [5], prediction of user mobility [6], handover management, and network operation status monitoring [7]. In [8,9], Markov chain is proposed to forecast radio resource controller (RRC) setup success and call setup success rates (CSSR) for the Long-term Evolution (LTE) mobile network.…”

Section: Introductionmentioning

confidence: 99%

Hybrid K-Mean Clustering and Markov Chain for Mobile Network Accessibility and Retainability Prediction

Omer

Yemer²,

Woldegebreal

2022

The 8th International Conference on Time Series and Forecasting

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“…In the above context, this paper tackles the RAN slicing problem from a modeling perspective by proposing and developing a Markov model characterization of RAN slicing in multi-tenant and multi-service scenarios. Markovian approaches have been widely used to characterize the utilization of resources in many fields, such as in mobility [24], cloud computing [25], Call Admission Control (CAC) scheme for 3G [26] or for heterogeneous networks Radio Access Technologies (RAT) policies [27]. More recently, works in the field of 5G exploit Markov modeling to approach a proactive resource allocation scheme in highly mobile networks [28], the management of Admission Control (AC) for handoff requests between small cell and macro cell domains [29], the computation of the estimated spectrum requirement [30] and the management of slices' creation [31].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Radio Access Network Slicing Scenarios With 5G QoS Provisioning

et al. 2020

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5G systems are envisaged to support a wide range of application scenarios with variate requirements. To handle this heterogeneity, 5G architecture includes network slicing capabilities that facilitate the partitioning of a single network infrastructure into multiple logical networks on top of it, each tailored to a given use case and provided with appropriate isolation and Quality of Service (QoS) characteristics. Network slicing also enables the use of multi-tenancy networks, in which the same infrastructure can be shared by multiple tenants by associating one slice to each tenant, easing the cost-effective deployment and operation of future 5G networks. Concerning the Radio Access Network (RAN), slicing is particularly challenging as it implies the configuration of multiple RAN behaviors over a common pool of radio resources. In this context, this work presents a Markov model for RAN slicing capable of characterizing diverse Radio Resource Management (RRM) strategies in multi-tenant and multi-service 5G scenarios including both guaranteed and non-guaranteed bit rate services. The proposed model captures the fact that different radio links from diverse users can experience distinct spectral efficiencies, which enables an accurate modeling of the randomness associated with the actual resource requirements. The model is evaluated in a multi-tenant scenario in urban micro cell and rural macro cell environments to illustrate the impact of the considered RRM polices in the QoS provisioning. INDEX TERMS Markov processes, radio access networks, RAN slicing, radio resource management, quality of service.

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3G mobile network call admission control scheme using markov chain

Cited by 7 publications

References 5 publications

QoS Negotiation and Service Differentiation by CAC Scheme for 3G Wireless Cellular Networks

QoS Negotiation and Service Differentiation by CAC Scheme for 3G Wireless Cellular Networks

Hybrid K-Mean Clustering and Markov Chain for Mobile Network Accessibility and Retainability Prediction

Characterization of Radio Access Network Slicing Scenarios With 5G QoS Provisioning

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