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dc.contributor.author Hong, Joonpyo -
dc.contributor.author Cho, Yun Hee -
dc.contributor.author Kim, Sung Kyung -
dc.contributor.author Na, Jee-Hyeon -
dc.contributor.author Kwak, Jeongho -
dc.date.accessioned 2023-12-26T19:12:27Z -
dc.date.available 2023-12-26T19:12:27Z -
dc.date.created 2021-03-02 -
dc.date.issued 2021-01-13 -
dc.identifier.isbn 9781728191003 -
dc.identifier.issn 1976-7684 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46953 -
dc.description.abstract According to Cisco's recent white paper, the usage of mobile data is exponentially increasing by 2022, namely 330% enhancement compared to 2017. Therefore, improvement of network capacity can be placed on the top priority in the future 5G/6G network systems. To tackle this issue, in this paper, we develop a small cell interference management technology with controls of transmission power of base stations (BSs) and user scheduling under edge SON (Self-Organizing Networks) architecture. In order to resolve the severe interference problem as the cell size decreases, this paper proposes an idea to share power in time and space, and develop the joint transmission power and user scheduling algorithm in each time slot aiming to maximize sum utilities of all users leveraging the Lyapunov optimization framework. Finally, we verify and compare the performance of the proposed algorithm and comparing algorithms in the multicell and multi-user scenario. © 2021 IEEE. -
dc.language English -
dc.publisher IEEE Computer Society -
dc.title Spatio-Temporal Degree of Freedom: Interference Management in 5G Edge SON Networks -
dc.type Conference Paper -
dc.identifier.doi 10.1109/ICOIN50884.2021.9333899 -
dc.identifier.scopusid 2-s2.0-85100758408 -
dc.identifier.bibliographicCitation 35th International Conference on Information Networking (ICOIN 2021), pp.491 - 494 -
dc.identifier.url http://www.icoin.org/sub06/sub0602.php -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 제주 -
dc.citation.endPage 494 -
dc.citation.startPage 491 -
dc.citation.title 35th International Conference on Information Networking (ICOIN 2021) -
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Department of Electrical Engineering and Computer Science Intelligent Computing & Networking Laboratory 2. Conference Papers

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