Analysis of The Impact of Fuzzy Logic Algorithm On Handover Decision in A Cellular Network

Nyambati, Emily Teresa; Oduol, Vitalice K.

doi:10.31686/ijier.vol5.iss5.664

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Te linguistic labels adopted to demonstrate the performance of network parameters are poor, average, good, and excellent for the QoS factor, weak, average, and strong for RSS, and low, medium, high, and very high for mobile device velocity. Te RSS range considered is between −110 and −48 dBm [46]. Also, the mobile device's velocity spans between 0 and 100 km/h [46].…”

Section: Fuzzy Inference System For Handover Initiationmentioning

confidence: 99%

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User Preference-Based Heterogeneous Network Management System for Vertical Handover

Ndegwa,

Nyachionjeka,

Mharakurwa

2023

Journal of Electrical and Computer Engineering

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Vertical handover management plays an essential role in wireless network technologies, mainly due to the rapid development of various radio access technologies (RATs) that require users to connect seamlessly from one RAT to another. However, in multiple RAT environments, vertical handover management encounters different challenges, including unnecessary handovers, handover failures, ping-pong handovers, and unsuitable access network selection. Essential in vertical handover management is maintaining the desired quality of service (QoS) by the mobile device user. The seamless movement of mobile device users as they run various applications depends on a well-performing vertical handover decision-making algorithm. This bears special significance in a heterogeneous network environment. This paper proposes a vertical handover algorithm that considers user preferences (i.e., a vertical handover algorithm that evaluates the application currently running on a user device). The main objective of the algorithm is to determine when it is necessary to perform the handover, depending on the applications running on the mobile device. The proposed algorithm utilizes a fuzzy logic system to assess whether the handover is necessary and a multiattribute decision-making (MADM) method to select the best available radio access network. A simulation scenario involving different applications at various mobile device velocities was developed. The results proved the algorithm’s effectiveness compared to some of the earlier proposed vertical handover algorithms. At velocities below 10 m/s and 30 m/s, the proposed algorithm had 0% and 15.02% unnecessary handovers, respectively, while the technique for order preference by similarity to ideal solution (TOPSIS) utility’s function-based algorithm obtained 12.38% and 23.24% at the same velocities, respectively. In addition, compared to TOPSIS, the obtained results of the proposed algorithm demonstrated a lower handover failure rate and ping-pong rate for a velocity span of 1–30 m/s for the considered user applications.

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Section: Fuzzy Inference System For Handover Initiationmentioning

confidence: 99%

“…Te RSS range considered is between −110 and −48 dBm [46]. Also, the mobile device's velocity spans between 0 and 100 km/h [46]. Te output value in the form of the handover factor ranges between 0 and 1.…”

Section: Fuzzy Inference System For Handover Initiationmentioning

confidence: 99%

User Preference-Based Heterogeneous Network Management System for Vertical Handover

Ndegwa,

Nyachionjeka,

Mharakurwa

2023

Journal of Electrical and Computer Engineering

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Interface Management in Wireless Hetrogeneous Enviornment – A Survey

Rani

Ahuja

2018

2018 4th International Conference on Computing Communication and Automation (ICCCA)

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Improvement of the Handover Performance and Channel Allocation Scheme using Fuzzy Logic, Artificial Neural Network and Neuro-Fuzzy System to Reduce Call Drop in Cellular Network

Islam

Hasan

Begum

2020

JEA

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Due to handover failure, call drop occurs frequently. When a large number of incoming and handoff calls arrive at the same time, the performance of the conventional handoff algorithms may fall down. Moreover, multiple factors such as signal quality and available channels of cellular network can’t be evaluated in conventional algorithms. When mobile station (MS) moves, the connection of MS with nearby base station (BS) has to be switched from one to adjacent station. In this case, unnecessary handoffs will be occurred due to lack of proper decision of handoffs or lack of consideration about signal quality with available free channels. As a result call drop will occur frequently. For performing handoff efficiently, fuzzy logic based handoff decision algorithm, adaptive handoff threshold level using neural network and priority based dynamic channel allocation algorithm using neuro-fuzzy system has been proposed in this work. These algorithms will mainly focus on the proper decision of handoff based on evaluating signal strength, available free channels, spectrum efficiency, MS speed and distance from BS so that unnecessary and inefficient handoffs can’t be performed. Simulation revealed that using neuro-fuzzy system, the channel capacity, SIR and Handoff management were improved better than the others in terms of spectrum utilization efficiency, MS speed and SIR. The efficacy of the methodology has been proved by imitating the proposed model using MATLAB software.

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Analysis of The Impact of Fuzzy Logic Algorithm On Handover Decision in A Cellular Network

Cited by 4 publications

References 8 publications

User Preference-Based Heterogeneous Network Management System for Vertical Handover

User Preference-Based Heterogeneous Network Management System for Vertical Handover

Interface Management in Wireless Hetrogeneous Enviornment – A Survey

Improvement of the Handover Performance and Channel Allocation Scheme using Fuzzy Logic, Artificial Neural Network and Neuro-Fuzzy System to Reduce Call Drop in Cellular Network

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