Fuzzy-based Handover Research Articles

An intelligent fuzzy-based system for handover decision in 5G-IoT networks considering network slicing and SDN technologies

By enabling 5G technology, IoT networks can improve the performance of connected IoT devices. However, handover, ping-pong effect and load balancing are critical issues because of massive and unplaned deployment of small cells. The handover operation in 5G wireless networks is complicated because there are many radio access techniques and technologies. Therefore, the mobility management is required to provide QoS for various applications. In this paper, we present a fuzzy-based system for handover decision in 5G wireless networks considering different network slicing parameters. We implement two Fuzzy-based Handover Decision Models (FHDM): FHDM1 and FHDM2. We evaluate the proposed models by simulations. For FHDM1, Slice Delay (SD), Slice Bandwidth (SB), and Slice Load (SL) are three input parameters and Handover Decision (HD) is the output parameter. For FHDM2, Slice Reliability (SR) is a new considered parameter, so it has four input parameters and the output parameter is HD the same as FHDM1. We found from simulation results that the considered parameters have different effects on HD. For both models, the HD value increases as SD and SL values increase while HD value is decreasing when SB and SR values increase. The results of the simulation indicate that although FHDM2 is more complex than FHDM1, it performs better HD since considers four input parameters. From the simulation results of FHDM2, when we changed SD value form 10% to 90%, we found that the HD value is increased by 50% when SR is 50% and SL is 90%. This indicates that when a user is connecting with the present slice that has bad QoS, it should handover to another slice with better QoS.

Multi-Criteria Fuzzy-Based Handover Decision System for Heterogeneous Wireless Networks

Seamless mobility is one of the most important issues considered in wireless mobile communications. Many researchers have developed numerous Handover Decision Systems (HDSs) to ensure seamless mobility between different Radio Access Technologies (RATs). With the appearance of real-time services in heterogeneous networks, numerous Quality of Service (QoS) parameters have to be included in the handover decision-making process. However, by increasing the number of input parameters in available HDSs, the algorithm execution time also increases. One way to decrease the algorithm execution time is to reduce the number of input parameters. However, this can lead to a degradation in the decision accuracy. In addition, most of the available handover decision algorithms comprise of QoS-related parameters but lack mobility and efficiency parameters. On the other hand, some algorithms consider mobility parameters as a handover decision criterion, but lack QoS-related parameters. In this paper, a fuzzy logic-based Handover Decision System design is proposed that allows for quick, intelligent, and comprehensive decisions during the handover procedure. Our proposed design uses a minimum number of fuzzy rules to select the best network for handover and to reduce the execution time. In addition, a total of eight decision parameters are chosen as the handover decision-making criterion, including QoS, mobility, and efficiency-related parameters. These parameters enhance the intelligence of the decision algorithm and enable a comprehensive decision for performing handover. Simulation results for our handover decision algorithm in terms of network selection performance show that it is superior to the Simple Additive Weighting, which is a non-fuzzy logic-based handover decision algorithm.

Fuzzy-Based Handover Decision Scheme for Next-Generation Heterogeneous Wireless Networks

In the development of the wireless communication of the future, mobility management and existing heterogeneous wireless networks integration in next generation or 4G wireless networks are developing trend. Such an environment poses a significant challenge: how can we choose an appropriate Network Access Point (NAP) to achieve load balance and offer high quality communication in heterogeneous wireless handover decisions? However, mobility management as well as the integration and interworking are a complex task due to their specific characteristics. This paper we apply fuzzy logic in heterogeneous wireless network handover decisions and introduce the fuzzy normalization concept to make parameters for heterogeneous wireless network normalization. Using a simulation, we determine under what conditions our handover decision algorithm can balance network system loading better than the traditional fuzzy algorithms applied in heterogeneous wireless network handover decisions.

Fuzzy-based handover decision with multi-attribute auctions in heterogeneous network environments

In next generation wireless networks mobile users will be able to roam between heterogeneous networks, using terminals with multiple access interfaces. An important issue in such a heterogeneous environment is the provisioning of seamless mobility to users across heterogeneous access networks, according to the Always Best Connected and Served (ABCS we also explain how the mobile terminals rank the available offers by the networks. A handover is performed only if a network's offer is considered more satisfactory than current status. Finally, a discussion is made through numerical paradigm and simulations, highlighting the proposed scheme's effectiveness.

Implementation and Performance Evaluation of Two Fuzzy-Based Handover Systems for Wireless Cellular Networks

Wireless mobile networks and devices are becoming increasingly popular to provide users the access anytime and anywhere. We are witnessing now an unprecedented demand for wireless networks to support both data and real-time multimedia traffic. The wireless mobile systems are based on cellular approach and the area is covered by cells that overlap each other. In mobile cellular systems the handover is a very important process. Many handover algorithms are proposed in the literature. However, to make a better handover and keep the QoS in wireless networks is very difficult task. For this reason, new intelligent algorithms should be implemented to deal with this problem. In this paper, we carried out a comparison study of two handover systems based on fuzzy logic. We implement two Fuzzy-Based Handover Systems (FBHS) called FBHS1 and FBHS2. The performance evaluation via simulations shows that FBHS2 has better behavior than FBHS1 and can avoid ping-pong effect in all simulation cases.

Implementation and Performance Evaluation of Two Fuzzy-Based Handover Systems for Wireless Cellular Networks

Implementation and Performance Evaluation of Two Fuzzy-Based Handover Systems for Wireless Cellular Networks