ONU-BS Deployment Strategy for FiWi Network Based on Cost Optimization

QI Feng; CHEN Zhihui; WEI Lei; LU Min; SHAO Sujie; GUO Shaoyong

doi:10.11999/JEIT170388

Volume 40 Issue 1

Jan. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(1): 87-94

QI Feng, CHEN Zhihui, WEI Lei, LU Min, SHAO Sujie, GUO Shaoyong. ONU-BS Deployment Strategy for FiWi Network Based on Cost Optimization[J]. Journal of Electronics & Information Technology, 2018, 40(1): 87-94. doi: 10.11999/JEIT170388

Citation:

QI Feng, CHEN Zhihui, WEI Lei, LU Min, SHAO Sujie, GUO Shaoyong. ONU-BS Deployment Strategy for FiWi Network Based on Cost Optimization[J]. Journal of Electronics & Information Technology, 2018, 40(1): 87-94. doi: 10.11999/JEIT170388

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ONU-BS Deployment Strategy for FiWi Network Based on Cost Optimization

doi: 10.11999/JEIT170388

1.
(State Key Laboratory of Networking and Switching Technology, Beijing?University?of?Posts?and?Telecommunications, Beijing 100876, China)
2.
(State Grid Jiangsu Electric Power Company, Nanjing 210024, China)
3.
(Nanjing Power Supply Company of State Grid Jiangsu Electric Power Company, Nanjing 210008, China)

Funds:

The State Grid Jiangsu Electric Power Company Technology Project (J2016044), The General Financial Grant from the China PostDoctoral Science Foundation (2016M6000971), The Fundamental Research Funds for the Central Universities

Received Date: 2017-04-26
Rev Recd Date: 2017-10-17
Publish Date: 2018-01-19

Abstract

Abstract

Fiber-Wireless (FiWi) hybrid network can effectively solve the problem that people need to receive high speed service anytime and anywhere. As the key node of the FiWi network, the number and location of ONUs determine the cost and performance of the network to a great extent. In order to reduce the construction cost of FiWi network and improve network performance, an ONU deployment strategy based on improved genetic algorithm is proposed in the EPON-WIMAX hybrid network. It can minimum the number of deployed ONUs and take into account the load balancing. The simulation results show that the proposed algorithm avoids sub-optimal trap and the final number of ONU is the least, while maintaining a high load balancing level with better performance.
- Fiber-Wireless (FiWi) network,
- Network programming,
- Genetic algorithm,
- ONU-BS,
- Load balance

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References(19)

References

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