Journal of Shanghai Jiao Tong University (Science) ›› 2017, Vol. 22 ›› Issue (6): 742-751.doi: 10.1007/s12204-017-1895-4

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Trade-off in Optimizing Energy Consumption and End User Quality of Experience in Radio Access Network

Trade-off in Optimizing Energy Consumption and End User Quality of Experience in Radio Access Network

XU Yuemei1* (徐月梅), WANG Zihou2 (王子厚), LI Yang3 (李杨), CAI Lianqiao1 (蔡连侨)   

  1. (1. Department of Computer Sciences, Beijing Foreign Studies University, Beijing 100089, China; 2. National Computer Network Emergency Response Technical Team, Coordination Center of China, Beijing 100012, China; 3 Institute of Information Engineering, Chinese Academy of Science, Beijing 100093, China)
  2. (1. Department of Computer Sciences, Beijing Foreign Studies University, Beijing 100089, China; 2. National Computer Network Emergency Response Technical Team, Coordination Center of China, Beijing 100012, China; 3 Institute of Information Engineering, Chinese Academy of Science, Beijing 100093, China)
  • Online:2017-12-01 Published:2017-12-03
  • Contact: XU Yuemei (徐月梅) E-mail:xuyuemei@bfsu.edu.cn

Abstract: To reduce network access latency, network traffic volume and server load, caching capacity has been proposed as a component of evolved Node B (eNodeB) in the ratio access network (RAN). These eNodeB caches reduce transport energy consumption but lead to additional energy cost by equipping every eNodeB with caching capacity. Existing researches focus on how to minimize total energy consumption, but often ignore the trade-off between energy efficiency and end user quality of experience, which may lead to undesired network performance degradation. In this paper, for the first time, we build an energy model to formulate the problem of minimizing total energy consumption at eNodeB caches by taking a trade-off between energy efficiency and end user quality of experience. Through coordinating all the eNodeB caches in the same RAN, the proposed model can take a good balance between caching energy and transport energy consumption while also guarantee end user quality of experience. The experimental results demonstrate the effectiveness of the proposed model. Compared with the existing works, our proposal significantly reduces the energy consumption by approximately 17% while keeps superior end user quality of experience performance.

Key words: energy consumption optimization| end user quality of experience| evolved Node B (eNodeB) cache

摘要: To reduce network access latency, network traffic volume and server load, caching capacity has been proposed as a component of evolved Node B (eNodeB) in the ratio access network (RAN). These eNodeB caches reduce transport energy consumption but lead to additional energy cost by equipping every eNodeB with caching capacity. Existing researches focus on how to minimize total energy consumption, but often ignore the trade-off between energy efficiency and end user quality of experience, which may lead to undesired network performance degradation. In this paper, for the first time, we build an energy model to formulate the problem of minimizing total energy consumption at eNodeB caches by taking a trade-off between energy efficiency and end user quality of experience. Through coordinating all the eNodeB caches in the same RAN, the proposed model can take a good balance between caching energy and transport energy consumption while also guarantee end user quality of experience. The experimental results demonstrate the effectiveness of the proposed model. Compared with the existing works, our proposal significantly reduces the energy consumption by approximately 17% while keeps superior end user quality of experience performance.

关键词: energy consumption optimization| end user quality of experience| evolved Node B (eNodeB) cache

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