A 2-D random walk mobility model for WiMAX location update

Zhang, Qizhi; Das, Sajal K.; Rodríguez-Carrión, Alicia

doi:10.1016/j.comcom.2015.08.019

Cited by 10 publications

(7 citation statements)

References 24 publications

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“…In Figure 1, zone I and zone K are border zones, and zone J is a center zone. At first glance, Figure 1B Figure 1A because their stochastic characteristics are the same under the two-dimensional (2D) random walk mobility model [20].…”

Section: With Three Zonesmentioning

confidence: 95%

Modeling and cost analysis of zone-based registration in mobile cellular networks

Jung¹,

Baek

2018

ETRI Journal

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This study considers zone‐based registration (ZBR), which is adopted by most mobile cellular networks. In ZBR, a user equipment (UE) registers its location area (or zone) in a network database (DB) whenever it enters a new zone. Even though ZBR is implemented in most networks for a UE to keep only one zone (1ZR), it is also possible for a UE to keep multiple zones. Therefore, a ZBR with two zones (2ZR) is investigated, and some mathematical models for 2ZR are presented. With respect to ZBR with three zones (3ZR), several studies have been reported, but these employed computer simulations owing to the complexity of the cases, and there have been no reports on a mathematical 3ZR model to analyze its performance. In this study, we propose a new mathematical model for 3ZR for the first time, and analyze the performance of 3ZR using this model. The numerical results for various scenarios show that, as the UE frequently enters zones, the proposed 3ZR model outperforms 1ZR and 2ZR. Our results help determine the optimal number of zones that a UE keeps, and minimize the signaling cost for radio channels in mobile cellular networks.

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Section: With Three Zonesmentioning

confidence: 95%

Modeling and cost analysis of zone-based registration in mobile cellular networks

Jung¹,

Baek

2018

ETRI Journal

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“…In the mesh cell structure, each cell is a square of identical size with four neighbors, where the UE can move from one cell to any of the four neighbour cells with specific probabilities. In the hexagonal cell structure, each cell is a hexagon of identical size with six neighbors and the UE can move from one cell to any of the six neighbour cells as shown in Figure 4 below [7]. This paper considers the hexagonal cell structure.…”

Section: D Markov Walkmentioning

confidence: 99%

“…The size of the TA affects both the paging signaling overhead and the location update overhead; i.e. a small size TA reduces the paging signaling overhead, while a large size TA reduces the location update overhead [1][2][3][4][5][6][7][8][9][10][11]. Tracking Area scheme encounters some limitations that include ping pong effect, mass mobility signalling congestion and symmetry limitation which are discussed in [2][3].…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of Tracking Area List in Lte Using 2D Markov Model

Elradi¹,

Widaa²

2019

AWCN

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In LTE there is a logical grouping of cells called Tracking Area (TA) and TAs are further grouped into Tracking Area List (TAL). Signaling overhead is greatly affected by the size of the TA and TAL respectively. Designing an optimum TAL would greatly reduce signaling overhead resulting from Tracking Area Update (TAU) and Paging procedures, which in return maximizes the network performance. This paper adopts a 2D Markov model that can be used for design optimization of TAL in LTE system by estimating the number of users in a cell within a time slot and the probability of the next location they might move to, as users move from and into cells periodically. The model was simulated in Matlab simulation software. The 2D Markov model was used to calculate TAU overhead, paging overhead and the total signaling overheads. The numerical results show that our model probably reduces the signaling overhead by about an average of 56% than that of the conventional TA scheme.

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“…And it also needs to reduce the latency, and it must be energy efficient. 1 It is proper for inter-ASN (asynchronous) communications due to the disability to assist vertical handoff communications. The need of vertical handovers depends on various factors that need to be analyzed concurrently with the signal strength in heterogeneous networks.…”

Section: Introductionmentioning

confidence: 99%

“…It is necessary to improve the network capacity by densification, increasing spectrum, and measuring the spectral efficiency. And it also needs to reduce the latency, and it must be energy efficient 1 …”

Section: Introductionmentioning

confidence: 99%

Asynchronous gateway reallocation communication in heterogeneous 5G networks

Kodavati

Madhu

2020

Int J Communication

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Summary Background Smart vision of the world is the latest challenge believing that 5G networks could feed all of our internet device needs. The exchange of information (data) needs not to go through backhaul because lots of capabilities will be available close to where it is needed. Presently, the majority of communications are based on single‐mode transmission. Communications will be more responsive and interactive due to 5G technology. The implementation of 5G faces various problems. It is necessary to improve the network capacity by densification, increasing spectrum, and measuring the spectral efficiency. And it also needs to reduce the latency, and it must be energy efficient. Purpose It is fit for inter‐access service network (ASN) (asynchronous) communications due to the incapability to maintain vertical handoff communications. The need for vertical handovers hinges on various factors that need to be analyzed concurrently with the signal strength in heterogeneous wireless environment. Methodology Thus, it proposed to utilize a vertical handover decision algorithm centered on the priority and speed of the subscriber. Implementation confirms the claim of the proposed method to achieve better channel utilization and maintains the QoS requirements of the mobile users. Findings Time latency calculation, evaluation of energy utilization between different nodes, and performance analysis packet loss are evaluated. Conclusion Better efficiency is attained for data transmission among the users that is one mobile node to other with commercial event management and appropriate processing in each node.

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A 2-D random walk mobility model for WiMAX location update

Cited by 10 publications

References 24 publications

Modeling and cost analysis of zone-based registration in mobile cellular networks

Modeling and cost analysis of zone-based registration in mobile cellular networks

Design Optimization of Tracking Area List in Lte Using 2D Markov Model

Asynchronous gateway reallocation communication in heterogeneous 5G networks

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