Fuzzy Logic Based Handover Decision System

Sharma, Manoj Kumar

doi:10.5121/ijasuc.2012.3403

Cited by 23 publications

(9 citation statements)

References 8 publications

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“…In a mobile communication environment, an efficient handover algorithm is often required to support seamless communication services. Many studies (Ghanem et al 2012;Monil et al 2013;Barolli et al 2008;Yang and Rong 2011;Feng et al 2013;Xia et al 2007;Sharma and Khola 2012) adopted fuzzy logic to make handover decision due to its fast processing speed. Ghanem et al (2012) presented a handover algorithm which keeps the old path between the serving eNB and Mobility Management Entity (MME)/Serving Gateway (S-GW) during the Ping-Pong effect, and delays the handover procedure.…”

Section: Related Workmentioning

confidence: 98%

“…Similar to other studies, three parameters, including current RSS, predicted RSS, and available bandwidth, are utilized to investigate the candidate networks, so that the call dropping rate and unnecessary handover can be possibly avoided. Besides, according to these parameters, in Sharma and Khola (2012), an extra parameter, i.e., user preference, was added as one of the inputs of its fuzzy logic handover decision system. Although the unnecessary handover can be effectively reduced, in Xia et al (2007) and Sharma and Khola (2012), the algorithm predicting RSS indeed increases the system complexity.…”

Section: Related Workmentioning

confidence: 99%

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Using fuzzy logic to reduce ping-pong handover effects in LTE networks

Tsai

Liu

2015

Soft Comput

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Recently, mobile communications have been widely used in people's everyday lives. Their handover process facilitates people to transfer an ongoing call or a data session from one service area to another without conducting any communication interruption. However, in mobile communications, the ping-pong effect is a serious problem since it may cause unnecessary handover and lead to data loss and high computation cost. This is the case when a user equipment (UE) moves between two or among more evolved Node Bases (eNBs), due to signal strength reason, the UE in a very short time period alternatively switches among the eNBs. Consequently, the eNBs bounce the communication link the UE connected to them back and forth. Although several previous researches have been made to mitigate the ping-pong effect, what seems to be lacking is effectively eliminating unnecessary handover. Therefore, in this paper, we propose a fast and simple fuzzy-logic-based handover decision system, named Fuzzy based Low Ping-Pong Effect Handover System (FPEHS for short), to reduce the ping-pong effect in an LTE network. In the FPEHS, five parameters, including current signal-to-noise ratio (SNR), detected SNR, bandwidth of serving eNB, bandwidth of target eNB, and remaining energy of the underlying user's device, are inputted to the fuzzy logic unit to make handover decision. Our simulation results show that the FPEHS can effectively decrease the ping-pong effect about 92.94 % in average compared with that of the standard LTE's handover mechanism.Keywords Fuzzy · Handover · LTE · Ping-pong effect · Signal-to-noise ratio (SNR)

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Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Using fuzzy logic to reduce ping-pong handover effects in LTE networks

Tsai

Liu

2015

Soft Comput

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“…The chosen method uses the concept of fuzzy logic in three steps, the first is the initiation phase of the Handover based on two parameters, QoS and the power of the signal (RSS), which are the inputs of FIS (Fuzzy Inference System) mamdani, the second is the preselecting phase which takes into account the speed of mobility and user preferences, finally the classification of WLAN, WIMAX and cellular networks based on the type of application chosen. M.sharma [17], had also introduced fuzzy logic (criterion: RSS, Bandwidth, Users Preference) to trigger the Handover towards choosing the optimal network between WLAN and WWAN.…”

Section: B the Fuzzy Logic Theorymentioning

confidence: 99%

Multicriteria Handover Management by the SDN Controller-based Fussy AHP and VIKOR Methods

Mouhassine¹,

Badri²,

Moughit³

2021

IJACSA

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A wireless environment is characterized by its dynamic nature, inherent uncertainty, and imprecise parameters and constraints. Network settings such as speed, RSS, network delays, etc. are inherently imprecise. Due to this vagueness, accurately measuring these network parameters in a wireless environment is a difficult task. As a result, a fuzzy logic approach appears to work best when used to design systems in such environments. Although conventional techniques based on precise values can be used to reduce transmission delay, they cannot produce intelligent and efficient transfer decisions that take into account all the constraints of the network. Thus, using one criterion only can lead to service disruption, unbalanced network load, and inefficient handoff. Therefore, to guide the Horizontal handover process in wireless networks towards making a better choice for VoIP in congested environments, we propose the integration of the Fuzzy-AHP and VIKOR method in SDN (Software Defined Networking) controller on several criteria (the signal-to-noise ratio plus interference (SNIR), packet loss, jitter, delay, throughput). However, the results of this work show that our contribution maintains a good quality of service for real-time applications.

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“…Sati1et al [2] used network load along with other metric and C. G. Patil et al [3] used velocity and hysteresis with other metric for better handover performance. In [4], predicted signal strength has been used. Yet another technique is used by Lin et al [6] which use location and velocity based algorithm to avoid pingpong effect and GSM measurement data was used in this work.…”

Section: A Conventional Handover and Application Of Fuzzy Logicmentioning

confidence: 99%

Speed and direction based fuzzy handover system

Monil

Qasim

Rahman

2013

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Handover is a very common event in Cellular Mobile network; however QoS could be severely affected by the handover performance. More handover cause more signaling traffic. Therefore, it is desired that handover should be done only when it is necessary. Besides, handover decision should be precise by taking account all possible options and considering the best one. For moving Mobile Station (MS) handover takes place more frequently. Some fuzzy logic based methodologies have already been proposed in literature to provide handover decision. In this paper, a method has been proposed to calculate speed and direction of MS relative to base station as a single metric using measurement data. Accordingly, a fuzzy logic based handover algorithm is implemented to avoid ping pong effect. By taking relative speed and direction, traffic load, signal strength and distance, the fuzzy inference system determines the best candidate neighbor based on the measurement reports from MS. Simulation has been carried out in Matlab environment and a comparison of different approaches has been performed. Simulation results demonstrate that proposed algorithm provides prediction based handover decision more accurately and avoid unnecessary handover and ping pong effect.

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Fuzzy Logic Based Handover Decision System

Cited by 23 publications

References 8 publications

Using fuzzy logic to reduce ping-pong handover effects in LTE networks

Using fuzzy logic to reduce ping-pong handover effects in LTE networks

Multicriteria Handover Management by the SDN Controller-based Fussy AHP and VIKOR Methods

Speed and direction based fuzzy handover system

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