Interference alignment for cellular networks with Jacobian eigenvalue

Christian Ango Mbom, James K.N. Nyarko, Yao Rugui, Ling Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we mix at each transmitter and receiver two cascaded matrix, the first matrix is obtained after applying the Jacobian eigenvalue method, the second is the Interference alignment (IA) method based on nuclear norm. The main idea of our proposed method is to apply the interference alignment with the classic mathematical method Jacobian eigenvalue in the K-user Multiple Input Multiple Output (MIMO) system and cellular networks. The results show our proposed method has a better sum of rate than the classic nuclear norm (without cascaded matrices) and in the case of K-user MIMO system sum of rate outperforms than classic interference Alignment methods (MaxSINR, Minimum Leakage).

源语言英语
主期刊名Proceedings of the 2017 6th International Conference on Network, Communication and Computing, ICNCC 2017
出版商Association for Computing Machinery
179-182
页数4
ISBN(电子版)9781450353663
DOI
出版状态已出版 - 8 12月 2017
活动6th International Conference on Network, Communication and Computing, ICNCC 2017 - Kunming, 中国
期限: 8 12月 201710 12月 2017

出版系列

姓名ACM International Conference Proceeding Series

会议

会议6th International Conference on Network, Communication and Computing, ICNCC 2017
国家/地区中国
Kunming
时期8/12/1710/12/17

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