An efficient femtocell-to-femtocell handover decision algorithm in LTE femtocell networks

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.

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Location-aware handover decision algorithm in multi-cell networks

2013 International Conference on Wireless Communications and Signal Processing ◽

10.1109/wcsp.2013.6677161 ◽

2013 ◽

Author(s):

Chengyi Liu ◽

Weiwei Xia ◽

Geng Chen ◽

Lianfeng Shen

Keyword(s):

Decision Algorithm ◽

Handover Decision ◽

Location Aware ◽

Cell Networks

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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.

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