Open AccessOpposition based Spider Monkey Optimization Algorithm for Load Balancing in LTE Network
Author(s) -
M.R. Sivagar,
N. Prabakaran
Publication year - 2021
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v18si01/web18055
Subject(s) - load balancing (electrical power) , computer science , computer network , load factor , distributed computing , network congestion , algorithm , engineering , network packet , mathematics , geometry , grid , aerospace engineering
At Present telecommunication is progressed due to the development of Long-Term Evolution (LTE) standard. This LTE network provides high-speed wireless communication for mobile devices and satisfies requirements of customers from multi-cells. However, due to the congestion of mobile devices, each cell in the network may get overloaded. So, load balancing is the main challenge to the LTE network for reducing congestion or load in the cell. For load balancing, optimal cell selection method is presented in this paper. Initially, load factor of each cell is estimated. The load factor is compared to the pre-defined threshold load value. After comparison, the high load cell handles users to the optimal cell or low load cell. This optimal cell has been selected with the Opposition-Based Spider Monkey Optimization Algorithm (OSMOA). Simulation results show that the proposed approach works better than previous methods in terms of call blocking rate (CBR) and call Dropping Ratio (CDR).