Mobility and Traffic Analysis for WCDMA Networks

Malomsoky, Szabolcs; Szlávik, Árpád

doi:10.1007/978-1-4471-0705-7_11

Cited by 1 publication

(1 citation statement)

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“…In [93] and [98], data mining methods such as clustering and association rule mining are used for exploring mobility patterns. [58,61,62,74] propose different ways to estimate handoff parameters from information on vehicles' flow along a road network. In [61], Nakano et al proposed the basic idea of an approximate technique to analyze the blocking probability in the 2-dimensional cellular systems using the spatial data.…”

Section: Classification Of Predictive Mobile-oriented Channel Reservamentioning

confidence: 99%

Predictive mobile-oriented channel reservation schemes in wireless cellular networks

Abdulova

Aybay²

2010

Wireless Netw

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Provision of seamless service to multimedia applications in cellular wireless networks largely depends on the way calls are handled during handoff. Hence, sufficient resources must be provided for handoff (HO) connections when a mobile station (MS) moves from one cell to another. Effective allocation of resources can be achieved when the exact future trajectory of MSs is known in advance. However, such a scenario is unrealistic. The next best possibility is to employ user mobility prediction to determine the cell(s) a MS will likely visit in the near future. In this paper, we present an extensive survey and classification of channel (bandwidth) reservation schemes which employ user mobility prediction in the resource reservation process. We also present a survey and classification of call admission control (CAC) schemes, including discussion of prioritized and non-prioritized handoff schemes, which can be useful for researches both in academia and industry.

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