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Wan, Guang; Lin, Emily Pei-Ying

doi:10.1023/a:1019155212541

Cited by 49 publications

(2 citation statements)

References 15 publications

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“…With respect to the mobility model, we have used a model commonly used in the literature, called Fluid-Flow Model [12][13][14]. This model is widely used to characterize the average residence time of an MN in a specific subnet.…”

Section: Analysis and Performance Evaluationmentioning

confidence: 99%

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Analytical and Experimental Evaluation of a Novel Mechanism to Improve the Control Plane in Next-Generation Mobile Networks

Calle-Cancho¹,

Cortés-Polo²,

González-Sánchez³

et al. 2020

Electronics

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With the continuous development of mobile communications and the Internet of Things technology, the enhanced network performance can be seen as one of the major challenges in the fourth industrial revolution context, where new services and applications with strict performance requirements have emerged, such as driverless vehicles, smart cities, factories, and manufacturing, among others. These new services and applications also drive growth of the data traffic, which is increasing exponentially. Thus, in mobile network environments, industry and academia are proposing new mechanisms to overcome the traffic bottlenecks and reduce the signaling overhead that affects current networks. Centralized Mobility Management solutions are prone to several problems such as the aforementioned signaling overhead or scalability issues. To overcome these limitations, Distributed Mobility Management approaches are being considered. In this paper, an analytical cost model and experimental evaluation will be developed for evaluating the performance of the Distributed Mobility Management implementations. Furthermore, a new approach will be proposed to improve network performance.

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Section: Analysis and Performance Evaluationmentioning

confidence: 99%

“…In short, for both proposals, C P is considered as the number of signaling messages processed per unit time in the CMD for a given MN, as shown in Equations (12) and (13).…”

Section: Processing Costmentioning

confidence: 99%

Analytical and Experimental Evaluation of a Novel Mechanism to Improve the Control Plane in Next-Generation Mobile Networks

Calle-Cancho¹,

Cortés-Polo²,

González-Sánchez³

et al. 2020

Electronics

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Location Management in Cellular Networks

Zhang

2002

Handbook of Wireless Networks and Mobile Computing

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It has been known for over one hundred years that radio can be used to keep in touch with people on the move. However, wireless communications using radio were not popular until Bell Laboratories developed the cellular concept to reuse the radio frequency in the 1960s and 1970s [31]. In the past decade, cellular communications have experienced an explosive growth due to recent technological advances in cellular networks and cellular telephone manufacturing. It is anticipated that they will experience even more growth in the next decade. In order to accommodate more subscribers, the size of cells must be reduced to make more efficient use of the limited frequency spectrum allocation. This will add to the challenge of some fundamental issues in cellular networks. Location management is one of the fundamental issues in cellular networks. It deals with how to track subscribers on the move. The purpose of this chapter is to survey recent research on location management in cellular networks. The rest of this chapter is organized as follows. Section 2.2 introduces cellular networks and Section 2.3 describes basic concepts of location management. Section 2.4 presents some assumptions that are commonly used to evaluate a location management scheme in terms of network topology, call arrival probability, and mobility. Section 2.5 surveys popular location management schemes. Finally, Section 2.6 summarizes the chapter. CELLULAR NETWORKSIn a cellular network, a service coverage area is divided into smaller hexagonal areas referred to as cells. Each cell is served by a base station. The base station is fixed. It is able to communicate with mobile stations such as cellular telephones using its radio transceiver. The base station is connected to the mobile switching center (MSC) which is, in turn, connected to the public switched telephone network (PSTN). Figure 2.1 illustrates a typical cellular network. The triangles represent base stations.The frequency spectrum allocated to wireless communications is very limited, so the 27 Handbook of Wireless Networks and Mobile Computing, Edited by Ivan Stojmenovic Ćopyright

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Location Management in Personal Communication Systems

Zhang¹

2007

Handbook of Computer Networks

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Cited by 49 publications

References 15 publications

Analytical and Experimental Evaluation of a Novel Mechanism to Improve the Control Plane in Next-Generation Mobile Networks

Analytical and Experimental Evaluation of a Novel Mechanism to Improve the Control Plane in Next-Generation Mobile Networks

Location Management in Cellular Networks

Location Management in Personal Communication Systems

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