scholarly journals A Dual-Parameter Adaptive Timer Decision Algorithm for Load Balancing and Ping-Pong Handover Control in LTE Networks

2015 ◽  
Vol 8 (33) ◽  
Author(s):  
Salawu Nathaniel ◽  
Sharifah Hafizah Syed Ariffin ◽  
Ali Farzamnia
Keyword(s):  
Load Balancing ◽  
Lte Networks ◽  
Decision Algorithm ◽  
Ping Pong ◽  
Parameter Adaptive

A Practical Approach for Load Balancing in LTE Networks

2014 ◽  
Vol 9 (6) ◽  
pp. 490-497 ◽  
Author(s):  
Miaona Huang ◽  
Suili Feng ◽  
Jun Chen
Keyword(s):  
Load Balancing ◽  
Practical Approach ◽  
Lte Networks

Conflict Resolution Between Load Balancing and Handover Optimization in LTE Networks

2014 ◽  
Vol 18 (10) ◽  
pp. 1795-1798 ◽  
Author(s):  
Pablo Munoz ◽  
Raquel Barco ◽  
Sergio Fortes
Keyword(s):  
Conflict Resolution ◽  
Load Balancing ◽  
Lte Networks

Multi-criteria load balancing decision algorithm for LTE network

2014 ◽  
Author(s):  
Salawu Nathaniel ◽  
Sharifah Hafizah Syed Ariffin ◽  
Ali Farzamnia ◽  
Abolarinwa Joshua Adegboyega
Keyword(s):  
Load Balancing ◽  
Decision Algorithm ◽  
Lte Network

scholarly journals A cluster based load balancing in long term evaluation self optimization network

2017 ◽  
Vol 7 (1.3) ◽  
pp. 9
Author(s):  
R. Nandhini ◽  
R. Udaya Nirmala Mary
Keyword(s):  
Load Balancing ◽  
Clustering Algorithm ◽  
Load Transfer ◽  
Cluster Head ◽  
Convergence Time ◽  
Ping Pong ◽  
Hidden Node ◽  
Term Evaluation ◽  
Multiple Cells

Load Balancing (lb) is an important use case in long-term evaluation (lte) self-optimizing networks (sons). To overcome the potential ping-pong load transfer and low-convergence issues, we propose a clustering algorithm in lte son  to solve the asymmetry traffic distribution among multiple cells .The proposed algorithm, which is referred to as clustering algorithm which optimally redistributes the load of cells to the multiple cells on clustering. Thus the clustered nodes formed selects the cluster head based upon the efficiency of the node. The cluster head is responsible for gathering the information about all the nodes within and outside the cluster, thus the speed gets increased and convergence time gets reduced by this method the hidden node problem gets avoided by implementing the enhanced protocol.

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