Simulation of Handoff Techniques in Mobile Cellular Networks

Mawjoud, Sami A.

doi:10.33899/rengj.2007.47090

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…The equation 1 to 3 is the sum of two terms, path loss and shadow fading. Rayleigh fading which also exists, but it can be neglected because it has much shorter distance when compared with shadow fading [8]. Rayleigh fading is attenuated by the low pass filter which is used for averaging but part of shadow fading is retaining.…”

Section: Analysis Of Multi Cell Handoff Algorithmmentioning

confidence: 99%

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Reducing the Frequent Switch Over between the Base Stations through Continuous Analysis of Signal Strength

Regitha

Paul

2018

AJCST

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As the increase in the number of mobiles and mobile networks, the existing standards and technologies face several issues and challenges. In the mobility management of cellular networks, HO is the important parameter on which these issues and challenges affect drastically. Several research papers have proposed many ideas and schemes to reduce HO latency. As the increase in the number new technologies and networks, the existing ideas are no longer supported efficiently. So a continuous analysis on handover (HO) procedure is required. Signal strength (SS) and quality of service (QoS) are measured at particular time intervals in cellular networks. Results show that the highest value of signal strength has the best quality of service. In this paper, a continuous analysis on signal strength received by the mobile station (MS) is used to monitor the HO process to reduce the HO delay. In this analysis, the parameters user movement pattern, topological position, signal strength and time are used which will be helpful to forecast the HO in advance. Using HO forecast minimum number of frequent switch over between the base stations (BSs) reduces the HO latency in mobile networks.

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Section: Analysis Of Multi Cell Handoff Algorithmmentioning

confidence: 99%

“…Rayleigh fading is attenuated by the low pass filter which is used for averaging but part of shadow fading is retaining. The RSS from three BSs expressed in dB can be written as [8].…”

Section: Analysis Of Multi Cell Handoff Algorithmmentioning

confidence: 99%

Reducing the Frequent Switch Over between the Base Stations through Continuous Analysis of Signal Strength

Regitha

Paul

2018

AJCST

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“…But continuous service is achieved by supporting handoff (handover) fro m one cell to the next adjacent cell as MS moves through the coverage area of the underlying BS. The handoff algorithms as proposed by different researchers are able to determine the dynamics of these MSs which move through the WMN [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A Comparison Study on Selective Traffic Models with Handoff Management Scheme for Wireless Mobile Network Infrastructure

Bhowmik¹

2013

IJITCS

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Wireless and Mobile Network Infrastructure services generally examine how different infrastructure providers are positioning themselves to compete in wireless services. These services analyze the opportunities and challenges facing by the infrastructure providers selling to wireless and mobile network operators worldwide. The opportunities and challenges are the review of strategies, market positioning, and future direction in the market for wireless and mobile network infrastructure. The service covers all generations of wireless and mobile network infrastructure: 2G, 2.5G, 3G, and 4G so on global in scope. Majority of the users are mobile wh ile availing these services. Mobility is the most important feature of any wireless and mobile network. Usually, continuous service is achieved by supporting handoff fro m one cell to another. Poorly designed handoff schemes tend to generate very heavy signaling traffic and, thereby, lead to a dramatic decrease in quality of service. In this paper we make a co mparison study on some selective traffic models with priority handoff scheme. The study shows how a handoff procedure has a significant impact on wireless mobile network performance on the basis of two primary criteria-Blocking probability of originating calls and the forced termination probability of ongoing calls. In addition to this the study shows arrival rate of handoff calls, and appro ximate nu mber of mobile users that get serviced by underlying base station.

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“…Continuous service is achieved by supporting handoff [2] from one cell to the next adjacent cell as the mobile station ) (MS moves through the coverage area. The handoff orithms a lg are able to determine the dynamics of the MSs which move through theWMNs [3] [4].…”

Section: Introductionmentioning

confidence: 99%

Modeling Prioritized Hard Handoff Management Scheme for Wireless Mobile Networks

Bhowmik¹,

Pooja²,

Sarkar³

et al. 2012

IJCNIS

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The channel associated with the current connection serviced by a base station is changed while a call is in progress. Usually, continuous service is achieved by supporting handoff from one cell to another. It is often initiated either by crossing a cell boundary or by deterioration in quality of the signal in the current channel. The existing call is then changed to a new base station. For the traffics which are non stationary at and are away from the servicing base station , the chances of a call to be handed off are increasing. In this paper we propose a scheme S MH 2 to modeling and implementing a traffic el mod with handoff behavior for wireless mobile networks. The simulation model S MH 2 with priority is developed to investigate the performance behavior of hard handoff strategy. Novelty of the proposed model S MH 2 results that it can improve call blocking rate of handoff calls. In addition to this, measurement of blocking probabilities for both g originatin calls and handoff calls is another impressive achievement of the model.

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Simulation of Handoff Techniques in Mobile Cellular Networks

Cited by 7 publications

References 8 publications

Reducing the Frequent Switch Over between the Base Stations through Continuous Analysis of Signal Strength

Reducing the Frequent Switch Over between the Base Stations through Continuous Analysis of Signal Strength

A Comparison Study on Selective Traffic Models with Handoff Management Scheme for Wireless Mobile Network Infrastructure

Modeling Prioritized Hard Handoff Management Scheme for Wireless Mobile Networks

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