Adaptive hard handoff algorithms

Prakash, R.; Veeravalli, Venugopal V.

doi:10.1109/vetec.1999.778341

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…Impact of absolute signal strength threshold setting T w on λ H and λ D is also studied. For numerical computation, the typical values of system parameters falling in the range of practical interest have been chosen as shown in Table 1 [16,24,30]. Path loss characteristics being different in the two cellular environments, different value of path loss exponents has been chosen for the two cells.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Fast fading is assumed to be averaged out due to its short correlation distance. The pilot signal strength received by MS in dBm from BS g and BS w respectively can be expressed as [24,30] …”

Section: The Propagation Channel Modelmentioning

confidence: 99%

“…It is assumed that a handover occurs if and only if an initiation trigger for a handover is present as followed in Refs. [3,14,16,18,20,24,30,31,34]. In this work, combination of RSS and distance is the handover initiation trigger.…”

Section: Handover Initiation Algorithmmentioning

confidence: 99%

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An improved handover algorithm based on signal strength plus distance for interoperability in mobile cellular networks

Singh

2007

Wireless Pers Commun

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In future generation mobile cellular systems, position location of mobile terminal is expected to be available. In this paper, we propose an initiation algorithm for intersystem handover based on the combination of position location of mobile terminal and the absolute signal strength thresholds. Global System for Mobile communication (GSM) and Universal Mobile Telecommunication Systems (UMTS) networks are considered for interworking. The proposed algorithm reduces the handover rate by around 50% and thus improves the network resource efficiency as compared to that based on signal strength thresholds only.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: The Propagation Channel Modelmentioning

confidence: 99%

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An improved handover algorithm based on signal strength plus distance for interoperability in mobile cellular networks

Singh

2007

Wireless Pers Commun

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“…Location management is used to track the positions of nodes no matter that they are communicating, and handoff management is used to keep communication uninterrupted when active nodes handoff from one cell to the other. The handoff decision algorithm belongs to handoff management is the research focus, which consists of horizon handoff decision [3,4] that nodes handoff in homogeneous 1 networks and vertical handoff decision [5][6][7][8][9][10][11][12] that nodes handoff in heterogeneous networks. In this paper, we pay attention to vertical handoff decision algorithm.…”

Section: Introductionmentioning

confidence: 99%

Vertical handoff algorithm in heterogeneous networks for reducing interference

Xie

2009

J. Electron.(China)

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A vertical handoff decision algorithm in heterogeneous networks composed of CDMA Cell Networks (CN) and Wireless Local Area Network (WLAN) is proposed to minimize the total interference in CDMA. The scope of WLAN is determined by minimizing interference and each communicating node shall handoff to WLAN as soon as it enters the scope. We first propose a model for heterogeneous networks, and based on it we obtain the close-form expression of interference. In order to minimize interference, we use simulation annealing method to get the WLAN radius, which is called basic algorithm. In order to reduce the interference further, we improve the basic and get the enhanced algorithm. Through numerical computing, we analyze the interference in condition of different call arrive rates, and results show that the enhanced can reduce interference more greatly than the basic.

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“…They have optimized the performance by minimizing the handover rate and handover initiation delay through proper selection of design parameters on the basis of case-to-case study. Some papers have also dealt with adaptive algorithms [8][9][10] that resort to on-line estimate of channel parameters and/or mobile speed to adapt handover algorithm parameters. Santucci et al [11] have modeled the effects of cross-correlated shadowing and interference strength on handover algorithm performance.…”

Section: Introductionmentioning

confidence: 99%

A New Empirical Formula for Handover Rate in Microcellular Systems

Singh

Aggarwal

Kumar³

2005

Int J Wireless Inf Networks

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In this paper, we propose a new empirical formula for handover rate as a function of base stations separation, standard deviation of shadow fading, path loss exponent, averaging distance, and correlation distance. The handover initiation algorithm is based on averaged signal strength measurements using relative signal strength with hysteresis margin approach. We generate the data through computer simulations for the average number of handovers referred to as handover rate, for the practical range of path loss exponent and standard deviation of shadow fading. The proposed formula provides for a practical design tool to optimize the handover initiation performance under varied propagation environments.

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Adaptive hard handoff algorithms

Cited by 10 publications

References 11 publications

An improved handover algorithm based on signal strength plus distance for interoperability in mobile cellular networks

An improved handover algorithm based on signal strength plus distance for interoperability in mobile cellular networks

Vertical handoff algorithm in heterogeneous networks for reducing interference

A New Empirical Formula for Handover Rate in Microcellular Systems

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