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NSYSU

1. Ho, Chih-Sheng. Clustering-Based Energy Saving Mechanism in Dense Small Cell Networks.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

In recent years, the use of mobile wireless devices has been growing exponentially. In order to serve intense traffic such as at train stations, at airport gates, or in classroom buildings, the investigation of 5G for the next generation of mobile telecommunication has been triggered[27]. Additionally, one promising solution is the deployment of massive small cells, called dense small cell network, which can get more capacity. However, the base stations are one of the biggest contributors for power consumption. To address the power consumption challenge, the Small Cell On/Off mechanism are discussed by the 3GPP. Previous solutions for Small Cell On/Off mechanism in dense small cell network could get energy saving. In this paper, we aim to minimize the total power consumption of network while guarantee the quality of service(QoS) of all the users. First, we find that the base stations(BSs) activation problem for minimizing network power consumption is an NP-Hard problem. To address the problem and further reduce the energy consumption of massive small cells, we proposed a clustering-based scheme for Small Cell On/Off method in dense small cell network. First, the base stations are clustered based on distance, and then we discuss inter-cluster and intra-cluster separately for Small Cell On/Off mechanism. Finally, we can improve energy consumption and reduce the time complexity. Additionally, we also analysis the time complexity for proposed algorithm. Simulation results demonstrate that proposed method can further reduce the energy consumption as well as guarantee the quality of service(QoS) of all the users in dense small cell network. Advisors/Committee Members: Ming-Chao Chiang (chair), Shu-Min Li (chair), You-Chiun Wang (chair), Wei-Kuang Lai (committee member), Tzung-Pei Hong (chair).

Subjects/Keywords: Time Complexity; Energy Saving; Small Cell On/Off; Dense Small Cell Network; The 5st Generation mobile networksï¼5G

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ho, C. (2017). Clustering-Based Energy Saving Mechanism in Dense Small Cell Networks. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806117-170231

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ho, Chih-Sheng. “Clustering-Based Energy Saving Mechanism in Dense Small Cell Networks.” 2017. Thesis, NSYSU. Accessed September 20, 2017. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806117-170231.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ho, Chih-Sheng. “Clustering-Based Energy Saving Mechanism in Dense Small Cell Networks.” 2017. Web. 20 Sep 2017.

Vancouver:

Ho C. Clustering-Based Energy Saving Mechanism in Dense Small Cell Networks. [Internet] [Thesis]. NSYSU; 2017. [cited 2017 Sep 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806117-170231.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ho C. Clustering-Based Energy Saving Mechanism in Dense Small Cell Networks. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806117-170231

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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