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1796-2021 (Online); 2374-4367 (Print)
Prof. Maode Ma
Prof. Jalel Ben-Othman, Prof. Nobuo Funabiki
Prof. Jason Z. Kang
or comments to
Assoc. Prof. Maode Ma
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
Welcome Prof. Abdelhalim Zekry from Egypt to join the Editorial board of JCM.
Volume 15, No. 6 have both been indexed by Scopus.
Volume 15, No. 7 has been published online!
Volume 12, No. 4, April 2017
Interfered Users Protection Algorithm for Self-Organizing Networks
, Li-Sheng Chen
, Wei-Ho Chung
, and Sy-Yen Kuo
1. Department of Electrical Engineering, National Taiwan University, Taipei, 10617, Taiwan
2. Research Center for Information Technology Innovation, Academia Sinica, Taipei, 11529, Taiwan
—Small cells are generally used by telecom operators to effectively share the loading of conventional macrocells and backbone networks, because they cost considerably less to deploy and are also capable of improving communication quality and capacity. However, radio frequency spectrum resources are limited and expensive, so using the same frequency band to deploy small cells in densely populated metropolitan environments could lead to overlapping signal coverage between neighboring cells. If a user is situated in such areas, this can result in severe radio signal interference and result in a significant decline in network transmission performance. This study therefore proposes combining cell grouping and base station power adjustment, as well as radio resource allocation algorithms, into an interference mitigation method for small cells. According to simulation results, the proposed Interfered Users Protection (IUP) algorithm produces a significantly higher signal-to-interference-plus-noise ratio (SINR) under varying numbers of base stations deployed, and the effect is stronger under densely deployed base stations with severe interference. Approximately 56% of the interfered users maintained a data rate of 250 Kbps and above. In addition, the average SINR of regular users were not affected; 67% of the regular users were still capable of maintaining this transmission rate. The IUP algorithm is capable of effectively improving interfered users’ signals and transmission capacity, while accounting for the transmission performance of the overall network.
—Interfered user, regular user, cell grouping, power adjustment, radio resource allocation
Cite: Chih-Hsiang Ho, Li-Sheng Chen, Wei-Ho Chung, and Sy-Yen Kuo, "Interfered Users Protection Algorithm for Self-Organizing Networks," Journal of Communications, vol. 12, no. 4, pp. 234-239, 2017. Doi: 10.12720/jcm.12.4.234-239
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