ARCHON: An ANDSF-assisted energy-efficient vertical handover decision algorithm for the heterogeneous IEEE 802.11/LTE-advanced network

In the present scenario, co-existence of various wireless networks necessitates efficient vertical handover decision algorithms to maintain cost effective seamless connectivity across various networks, as the user is moving from one place to another. In this paper, the authors have presented a vertical handover decision algorithm which calculates a fitness value for each available network based on received signal strength, channel capacity, cost, battery life, velocity, and quality of service (QoS). In addition, the travelling speed of the user and the vehicular density at that time is used to capture the handover track of the user for network management. An alternate model using fuzzy inference system is also presented.

Download Full-text

Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System

Journal of Computer Networks and Communications ◽

10.1155/2014/739504 ◽

2014 ◽

Vol 2014 ◽

pp. 1-8 ◽

Cited By ~ 2

Author(s):

Ibraheem Shayea ◽

Mahamod Ismail ◽

Rosdiadee Nordin ◽

Hafizal Mohamad

Keyword(s):

Outage Probability ◽

Influence Factors ◽

User Mobility ◽

Carrier Aggregation ◽

Decision Algorithm ◽

Handover Decision ◽

Lte Advanced ◽

Advanced System ◽

Better Than

Although Long Term Evolution Advanced (LTE-Advanced) system has benefited from Carrier Aggregation (CA) technology, the advent of CA technology has increased handover scenario probability through user mobility. That leads to a user’s throughput degradation and its outage probability. Therefore, a handover decision algorithm must be designed properly in order to contribute effectively for reducing this phenomenon. In this paper, Multi-Influence Factors for Adaptive Handover Decision Algorithm (MIF-AHODA) have been proposed through CA implementation in LTE-Advanced system. MIF-AHODA adaptively makes handover decisions based on different decision algorithms, which are selected based on the handover scenario type and resource availability. Simulation results show that MIF-AHODA enhances system performance better than the other considered algorithms from the literature by 8.3 dB, 46%, and 51% as average gains over all the considered algorithms in terms of SINR, cell-edge spectral efficiency, and outage probability reduction, respectively.

Download Full-text

Vertical handoff algorithm for different wireless technologies

10.7287/peerj.preprints.2970v1 ◽

2017 ◽

Cited By ~ 1

Author(s):

Radhwan Mohamed Abdullah ◽

Zuriati Ahmad Zukarnain

Keyword(s):

Wireless Network ◽

Wireless Local Area Network ◽

Local Area Network ◽

Vertical Handover ◽

Vertical Handoff ◽

Area Network ◽

Heterogeneous Wireless Network ◽

Decision Algorithm ◽

Handover Decision ◽

Simulation Results

Transferring a huge amount of data between different network locations over the network links depends on the heterogeneous wireless network. Such a network consists of several networks with different access technologies. Traditionally, a mobile device may be moved to achieve the operations of vertical handover, considering only one criterion, that is, the received signal strength (RSS). The use of a single criterion may cause service interruption, an unbalanced network load, and an inefficient vertical handover. In this paper, we propose enhanced vertical handover decision algorithm based on multiple criteria in the heterogeneous wireless network. The algorithm consists of three technology interfaces: Long-Term Evolution (LTE), Worldwide interoperability for Microwave Access (WiMAX), and Wireless Local Area Network (WLAN). It also employs three types of the vertical handover decision algorithms: equal priority, mobile priority, and network priority. The simulation results illustrate that the proposed handover decision algorithm outperforms the traditional network decision algorithm in terms of handover number probability and the handover failure probability. In addition, it is noticed that the network priority handover decision algorithm produces better results compared to equal priority and mobile priority handover decision algorithm. Finally, the simulation results are validated by the analytical model.

Download Full-text