Vertical Handover Decision Algorithm for Heterogeneous Cellular-WLAN Networks

AbstractMulti-access and heterogeneous wireless communications are considered to be one of the solutions for providing generalized mobility, high system efficiency and improved user experience, which are important characteristics of the Next Generation Networks. This paper proposes a Vertical Handover (VHO) decision algorithm for heterogeneous network architectures which integrate both cellular networks and Wireless Local Area Networks (WLANs). The cellular-WLAN and WLAN-WLAN VHO decisions are taken based on parameters which characterize both the coverage and the traffic load of the WLANs. Computer simulations performed in complex scenarios show that the proposed algorithm ensures better performance compared to “classical” VHO decision algorithms.

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Improved Association and Disassociation Scheme for Enhanced WLAN Handover and VHO

Mobile Information Systems ◽

10.1155/2016/4868479 ◽

2016 ◽

Vol 2016 ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Sungjin Shin ◽

Donghyuk Han ◽

Hyoungjun Cho ◽

Jong-Moon Chung

Keyword(s):

Mobile Devices ◽

Local Area Networks ◽

Access Point ◽

Local Area ◽

Vertical Handover ◽

Base Station ◽

Wireless Local Area Networks ◽

Received Signal Strength Indicator ◽

Wireless Protocol

The number of mobile devices and wireless connections is significantly increasing. Among many wireless protocol types, wireless local area networks (WLANs) are expected to support a significant number of devices. Due to this reason, effective and efficient handover (HO) and vertical handover (VHO) support for WLAN mobile devices is important. A significant improvement in quality of service (QoS) can be obtained by reducing the association and disassociation interruption time for user equipment (UE) servicing real-time applications during WLAN HO and VHO operations. Based on this focus, this paper investigates the problem of using only the received signal strength indicator (RSSI) in HO and VHO decisions, which is what the current IEEE 802.11 based WLAN systems use. Experimental results presented in this paper demonstrate that only using the RSSI results in significant interruption time during HO to another WLAN access point (AP) or to a cellular base station during VHO. Therefore, in this paper, an improved association and disassociation scheme that can reduce the data interruption time (DIT) and improve the throughput performance is proposed.

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eSCIFI: An Energy Saving Mechanism for WLANs Based on Machine Learning

Energies ◽

10.3390/en15020462 ◽

2022 ◽

Vol 15 (2) ◽

pp. 462

Author(s):

Guilherme Henrique Apostolo ◽

Flavia Bernardini ◽

Luiz C. Schara Magalhães ◽

Débora C. Muchaluat-Saade

Keyword(s):

Machine Learning ◽

Energy Saving ◽

Clustering Algorithm ◽

Clustering Algorithms ◽

Local Area Networks ◽

Local Area ◽

Wireless Local Area Networks ◽

Machine Learning Algorithms ◽

Decision Algorithm ◽

User Coverage

As wireless local area networks grow in size to provide access to users, power consumption becomes an important issue. Power savings in a large-scale Wi-Fi network, with low impact to user service, is undoubtedly desired. In this work, we propose and evaluate the eSCIFI energy saving mechanism for Wireless Local Area Networks (WLANs). eSCIFI is an energy saving mechanism that uses machine learning algorithms as occupancy demand estimators. The eSCIFI mechanism is designed to cope with a broader range of WLANs, which includes Wi-Fi networks such as the Fluminense Federal University (UFF) SCIFI network. The eSCIFI can cope with WLANs that cannot acquire data in a real time manner and/or possess a limited CPU power. The eSCIFI design also includes two clustering algorithms, named cSCIFI and cSCIFI+, that help to guarantee the network’s coverage. eSCIFI uses those network clusters and machine learning predictions as input features to an energy state decision algorithm that then decides which Access Points (AP) can be switched off during the day. To evaluate eSCIFI performance, we conducted several trace-driven simulations comparing the eSCIFI mechanism using both clustering algorithms with other energy saving mechanisms found in the literature using the UFF SCIFI network traces. The results showed that eSCIFI mechanism using the cSCIFI+ clustering algorithm achieves the best performance and that it can save up to 64.32% of the UFF SCIFI network energy without affecting the user coverage.

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Link-Level Simulator for Wireless local Area Network

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i7.232 ◽

2018 ◽

Vol 6 (7) ◽

pp. 314

Author(s):

Chaithra. H. U ◽

Vani H.R

Keyword(s):

Wireless Local Area Network ◽

Local Area Network ◽

Local Area Networks ◽

Local Area ◽

Long Term Evolution ◽

Wireless Local Area Networks ◽

Area Network ◽

Network Simulator ◽

Term Evolution

Now a days in Wireless Local Area Networks (WLANs) used in different fields because its well-suited simulator and higher flexibility. The concept of WLAN with advanced 5th Generation technologies, related to a Internet-of-Thing (IOT). In this project, representing the Network Simulator (NS-2) used linked-level simulators for Wireless Local Area Networks and still utilized IEEE 802.11g/n/ac with advanced IEEE 802.11ah/af technology. Realization of the whole Wireless Local Area Networking linked-level simulators inspired by the recognized Vienna Long Term Evolution- simulators. As a outcome, this is achieved to link together that simulator to detailed performances of Wireless Local Area Networking with Long Term Evolution, operated in the similar RF bands. From the advanced 5th Generation support cellular networking, such explore is main because different coexistences scenario can arise linking wireless communicating system to the ISM and UHF bands.

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User-Driven Network Selection during Vertical Handover in 4G Networks

Journal of Communications Technology Electronics and Computer Science ◽

10.22385/jctecs.v10i0.135 ◽

2017 ◽

Vol 10 ◽

pp. 1

Author(s):

Abubakar Muhammad Miyim ◽

Mahamod Ismail ◽

Rosdiadee Nordin

Keyword(s):

Blocking Probability ◽

Service Selection ◽

Vertical Handover ◽

Network Selection ◽

Selection Strategy ◽

Intelligent Network ◽

Decision Algorithm ◽

Radio Access ◽

Service Application ◽

Multi Access

The importance of network selection for wireless networks, is to facilitate users with various personal wireless devices to access their desired services via a range of available radio access networks. The inability of these networks to provide broadband data service applications to users poses a serious challenge in the wireless environment. Network Optimization has therefore become necessary, so as to accommodate the increasing number of users’ service application demands while maintaining the required quality of services. To achieve that, the need to incorporate intelligent and fast mechanism as a solution to select the best value network for the user arises. This paper provides an intelligent network selection strategy based on the user- and network-valued metrics to suit their preferences when communicating in multi-access environment. A user-driven network selection strategy that employs Multi-Access Service Selection Vertical Handover Decision Algorithm (MASS-VHDA) via three interfaces; Wi-Fi, WiMAX and LTE-A is proposed, numerically evaluated and simulated. The results from the performance analysis demonstrate some improvement in the QoS and network blocking probability to satisfy user application requests for multiple simultaneous services.

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