Analyzing Zone-Based Registration Using a Three Zone System: A Semi-Markov Process Approach

Jung, Jihee; Baek, Jang Hyun

doi:10.3390/app10165705

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…Various results have been proposed for mobility management schemes to minimize the total signalling cost, for example, zone-based [5], movement-based [9], distance-based [6], and TAL-based registration [3,4]. Among them, Jang and Baek [3] proposed a flexible TAL-forming registration method to reduce the total signal cost of automobile users in LTE advanced communication networks, using the direction of travel information in UE.…”

Section: B Mobility Prediction In Registration Scheme With Flexible T...mentioning

confidence: 99%

“…In addition, when the call arrives to the UE, through the paging process, the broadcast messages from the last TAL where UE were registered. So far, many studies have been proposed to reduce registration and paging costs [3,4,5,9]. Among them, it can be observed that the performance of the registration scheme using the moving probability of the UE is superior to that of the existing zonebased [5] or distance-based method [6].…”

Section: Introductionmentioning

confidence: 99%

“…So far, many studies have been proposed to reduce registration and paging costs [3,4,5,9]. Among them, it can be observed that the performance of the registration scheme using the moving probability of the UE is superior to that of the existing zonebased [5] or distance-based method [6]. However, in related studies, no method was suggested to predict the moving probability of UEs.…”

Section: Introductionmentioning

confidence: 99%

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Mobility Prediction using Artificial Neural Network in Mobile Communication Network

2023

Feb. 2023 European Conferences

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This paper proposes a method of predicting the movement direction between cells of subscribers (UE, user equipment) for efficient mobility management in mobile communication networks. To predict the moving direction of UE, an artificial neural network model is developed by using R programming language, and location registration and paging costs (signaling bits) for each UE collected are used as dependent variables. In addition, the paging scheme considers the method of paging the incoming calls to the UE at once (simultaneous paging) and the method of paging it twice (selective paging). In addition, softmax is used as an activation function, and a weight reduction method is used to prevent overfitting to construct neural network. From the numerical results, it is observed that the total cost in the selective paging is reduced by about 17.2% compared to the simultaneous paging method. And, as a result of evaluating the accuracy of the model using validation dataset, the accuracy is 63.43% in the simultaneous paging, and the prediction accuracy is improved to 82.9% by confirming the UE at the boundary of the tracking area by using the twostep selective paging technique.

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Section: B Mobility Prediction In Registration Scheme With Flexible T...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mobility Prediction using Artificial Neural Network in Mobile Communication Network

2023

Feb. 2023 European Conferences

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“…Various results on mobility management schemes to minimize the total signaling cost have been proposed, such as zone-based registration [14][15][16], movement-based registration [5,17], distance-based registration [18][19][20][21], TAL-based registration [11,22], and so on. Among them, Grigoreva et al [10] have proposed a registration scheme with flexible TAL forming to reduce total signaling cost for automotive users in LTE-advanced communication network using information of UE's moving direction.…”

Section: Introductionmentioning

confidence: 99%

Mobility Management Scheme with Mobility Prediction in Wireless Communication Networks

Jang

Baek

2022

Applied Sciences

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Many registration schemes have been proposed to reduce the signaling cost required for user’s mobility management in wireless communication networks. Various results on mobility management schemes to minimize the total signaling cost have been reported. The objective of this study was to analyze a registration scheme that could deal with mobility prediction and corresponding flexible tracking area list (TAL) forming. In this scheme, based on mobility prediction and corresponding TAL forms, a new TAL was constructed such that the registration cost could be minimized. In addition, a semi-Markov process model was newly presented for the registration scheme considering mobility prediction and corresponding flexible TAL forming for two different environments: urban and rural. Simulation studies were also performed to validate the accuracy of the semi-Markov process model. Numerical results showed that analytical and simulation results were very close (average relative error of 1.4%). The registration cost decreased as the moving probability (q) to the predicted direction increased. The performance of the proposed scheme was superior to distance-based registration (DBR) or TAL-based scheme especially when q was high. When call-to-mobility ratio was less than or equal to 1 corresponding to current small cell configurations, the proposed scheme outperformed the DBR or TAL-based scheme.

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Improvement and Performance Evaluation When Implementing a Distance-Based Registration

Baek

2021

Applied Sciences

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An efficient location registration scheme is essential to continuously accommodate the increasing number of mobile subscribers and to offer a variety of multimedia services with good quality. The objective of this study was to analyze the optimal size for the location area of a distance-based registration (DBR) scheme by varying the number of location areas on a cell-by-cell basis, not on a ring-by-ring basis. Using our proposed cell-by-cell distance-based registration scheme with a random walk mobility model, a variety of circumstances were analyzed to obtain the optimal number of cells for location area for minimizing the total signaling cost on radio channels. Analysis results showed that the optimal number of cells for location area was between 4 and 7 in most cases. Our cell-by-cell distance-based location registration scheme had less signaling cost than an optimal ring-by-ring distance-based location registration scheme with an optimal distance threshold of 2 (the optimal number of cells for location area was 7). Therefore, when DBR is adopted, it must be implemented with an LA increasing on a cell-by-cell basis to achieve optimal performance.

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Analyzing Zone-Based Registration Using a Three Zone System: A Semi-Markov Process Approach

Cited by 7 publications

References 19 publications

Mobility Prediction using Artificial Neural Network in Mobile Communication Network

Mobility Prediction using Artificial Neural Network in Mobile Communication Network

Mobility Management Scheme with Mobility Prediction in Wireless Communication Networks

Improvement and Performance Evaluation When Implementing a Distance-Based Registration

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