Simulating Soft Handover and Power Control for Enhanced UMTS

Vassiliou, Vasos; Antoniou, Josephina; Pitsillides, Andreas; Hadjipollas, G.

doi:10.1109/pimrc.2005.1651723

“…When a mobile user/node moves to a new location it has to establish a new radio link with the target base-station/access-point/neighbor and release the connection with the previous, in a process called handoff. A basic handoff process consists of three main phases: (a) triggering phase, dealing with initiating the handoff, (b) the decision phase, dealing with the algorithm parameters and handover criteria, and (c) execution phase dealing with the executions of the handoff [1].…”

Section: Introductionmentioning

confidence: 99%

Mobility Management Solutions in Industrial Wireless Sensor Networks

Zinonos

¹

,

Vassiliou

²

2019

2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)

0

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A number of sensor network applications are envisioned to be applied to industry settings where the existence of mobile nodes (MN) is required. In critical applications, the realtime monitoring of a MN must always be available, something that requires the existence of a suitable mobility protocol to control the handoff procedure. In this paper, we use an industrial WSN setting to perform a comprehensive performance evaluation of different mobility handling solutions based on single-and multiple-metric options. The results show that Fuzzy Logic-based Mobility Controller (FLMC), the multiple-metric approach we used (based on Fuzzy Logic), performs better compared to any single metric-based approach under a varying set of conditions. More specifically, we demonstrate that the Fuzzy Logic -based approach can efficiently control the handoff triggering procedure and provide high reliability (low packet loss) under different mobility models, different radio propagation models, and different topologies.

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“…When a mobile user/node moves to a new location it has to establish a new radio link with the target base-station/access-point/neighbor and release the connection with the previous, in a process called handoff. A basic handoff process consists of three main phases: (a) triggering phase, dealing with initiating the handoff, (b) the decision phase, dealing with the algorithm parameters and handover criteria, and (c) execution phase dealing with the executions of the handoff [4].…”

Section: Introductionmentioning

confidence: 99%

Reliable Mobility Support for e-Health Monitoring: A Performance Evaluation

Zinonos¹,

Vassiliou²,

Christodoulou³

2018

2018 Innovations in Intelligent Systems and Applications (INISTA)

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A number of sensor network applications are envisioned to be applied to industry settings where the existence of mobile nodes (MN) is required. In critical applications, the realtime monitoring of a MN must always be available, something that requires the existence of a suitable mobility protocol to control the handoff procedure. In this paper, we use data from an industrial testbed to perform a comprehensive performance evaluation of different mobility solutions based on single-and multiple-metric options. The results show that a fuzzy logic based approach performs better compared to any single metricbased approach.

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“…This gain is known as SHO gain and can be used to offer high quality service and high capacity. In literature, soft handover parameters have been treated for performance evaluation of the algorithms using both analytical method and simulation methods [9,11,15,22]. A model has been proposed in [8] for computation of outage probability, macro diversity gain and signaling load.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Cellular Network Using Adaptive Soft Handover Algorithm

Singh

¹

,

Singh

²

2010

Wireless Pers Commun

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Mobility management is the most important feature of a wireless cellular communication system. Continuation of an active call is one of the most important quality measurements in the cellular systems. Handover makes it possible for a user to travel between various networks or cells while having a seamless connection. This paper shows that, performance of cellular network can be increased with proposed adaptive soft handoff algorithm, which dynamically calculates the Soft handover margin based on the received signal strength and distance. Performance is evaluated in terms of the performance metrics active set update rate, active set size, soft handover region and probability of outage. Simulation results show that soft handover algorithm gives better performance with adaptive soft handoff margin compared to that of fixed soft handover margin in varied propagation conditions.Keywords CDMA · Soft handover margin · Active set update rate · Mean active set size · Soft handover region · Probability of outage · Shadowing process

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Simulating Soft Handover and Power Control for Enhanced UMTS

Cited by 10 publications

References 7 publications

Mobility Management Solutions in Industrial Wireless Sensor Networks

Mobility Management Solutions in Industrial Wireless Sensor Networks

Reliable Mobility Support for e-Health Monitoring: A Performance Evaluation

Performance Enhancement of Cellular Network Using Adaptive Soft Handover Algorithm

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