Traffic load balance methods in the LTE-Advanced system with carrier aggregation

2010 ◽  
Author(s):  
Lei Zhang ◽  
Fei Liu ◽  
Lin Huang ◽  
Wenbo Wang
Keyword(s):  
Load Balance ◽  
Traffic Load ◽  
Carrier Aggregation ◽  
Lte Advanced ◽  
Advanced System ◽  
Traffic Load Balance

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

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
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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