Multi-Objective Solution of Reducing Call Drop Rate and Maximizing Throughput by Ant Colony Optimization in 5G Heterogeneous Networks
Author:
Affiliation:
1. Central Queensland University,School of Engineering and Technology,North Rockhampton,Australia
2. Central Queensland University,School of Engineering and Technology,Melbourne,Australia
Funder
Central Queensland University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10318842/10318843/10319017.pdf?arnumber=10319017
Reference15 articles.
1. Seamless vertical handoff using modified weed optimization algorithm for heterogeneous wireless networks
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5. Multiattribute Access Selection Algorithm Supporting Service Characteristics and User Preferences in Heterogeneous Wireless Networks
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Optimizing cell association in 5G and beyond networks: a modified load-aware biased technique;Telecommunication Systems;2024-08-18
2. Ant colony optimization-based solution to optimize load balancing and throughput for 5G and beyond heterogeneous networks;EURASIP Journal on Wireless Communications and Networking;2024-06-02
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