在异质网络中使用红尾算法优化吞吐量和负载平衡
I Chandra1, K Ramkumar2, Balaji Maram3
1Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, Tamilnadu, India. chandraiece@outlook.com.
本研究介绍了一种带有细胞范围扩展的红尾算法,以提高无线网络性能. 该方法通过平衡用户需求和减少呼叫掉落来提高服务质量.
科学领域:
- 无线通信网络 无线通信网络
- 网络优化 网络优化
- 电信工程 电信工程 电信工程
背景情况:
- 越来越多的数据需求和服务质量 (QoS) 需要压力无线网络.
- 异质网络 (HetNets) 面临着由于流量激增和细胞协会不平衡的挑战.
- 传统的方法在复杂的网络环境中难以满足各种用户流量需求.
研究的目的:
- 在无线网络中最大限度地增加用户数量,满足下链需求.
- 解决网络不平衡问题,改善异质网络 (HetNets) 的整体服务质量 (QoS).
- 为小型基站 (SBSs) 开发一个优化的细胞范围扩展 (CRE) 战略.
主要方法:
- 红尾 (RTH) 算法与细胞范围扩展 (CRE) 方法的整合.
- 考虑基站工作负载和用户信号与干扰加噪声比率 (SINR) 的适应性函数的制定.
- 为个别小型基站 (SBS) 确定适当的CRE偏差值.
主要成果:
- 在负载平衡 (56.67%) 和用户吞吐量 (49.23%) 显著改善.
- 大大减少了通话丢失率 (91.49%) 和网络延迟 (92.68%).
- 与传统方法相比,提高了执行时间 (77.55%) 和收率 (20.11%).
结论:
- 拟议的RTH算法与CRE有效地满足用户吞吐量要求,同时最大限度地减少网络不平衡.
- 该方法显著降低了通话丢失率,并提高了整体网络效率.
- 实验结果验证了拟议模型在优化无线网络性能方面的优越性.
更多相关视频
07:49Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
Published on: November 26, 2019
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
相关概念视频
Distributed Loads: Problem Solving
Maximum Power Flow and Line Loadability
Distributed Loads
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
Relation Between the Distributed Load and Shear
Optimal Foraging
Multimachine Stability
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
