Interference alignment for cellular networks with Jacobian eigenvalue

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

doi:10.1145/3171592.3171634

Interference alignment for cellular networks with Jacobian eigenvalue

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

School of Electronics and Information

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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).

Original language	English
Title of host publication	Proceedings of the 2017 6th International Conference on Network, Communication and Computing, ICNCC 2017
Publisher	Association for Computing Machinery
Pages	179-182
Number of pages	4
ISBN (Electronic)	9781450353663
DOIs	https://doi.org/10.1145/3171592.3171634
State	Published - 8 Dec 2017
Event	6th International Conference on Network, Communication and Computing, ICNCC 2017 - Kunming, China Duration: 8 Dec 2017 → 10 Dec 2017

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	6th International Conference on Network, Communication and Computing, ICNCC 2017
Country/Territory	China
City	Kunming
Period	8/12/17 → 10/12/17

Keywords

Interference Alignment
Jacobian
MIMO

Access to Document

10.1145/3171592.3171634

Cite this

Mbom, C. A., Nyarko, J. K. N., Rugui, Y., & Wang, L. (2017). Interference alignment for cellular networks with Jacobian eigenvalue. In Proceedings of the 2017 6th International Conference on Network, Communication and Computing, ICNCC 2017 (pp. 179-182). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3171592.3171634

@inproceedings{e4279394d91b403483d3837982ef72e3,

title = "Interference alignment for cellular networks with Jacobian eigenvalue",

abstract = "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).",

keywords = "Interference Alignment, Jacobian, MIMO",

author = "Mbom, {Christian Ango} and Nyarko, {James K.N.} and Yao Rugui and Ling Wang",

note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 6th International Conference on Network, Communication and Computing, ICNCC 2017 ; Conference date: 08-12-2017 Through 10-12-2017",

year = "2017",

month = dec,

day = "8",

doi = "10.1145/3171592.3171634",

language = "英语",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "179--182",

booktitle = "Proceedings of the 2017 6th International Conference on Network, Communication and Computing, ICNCC 2017",

}

Mbom, CA, Nyarko, JKN, Rugui, Y & Wang, L 2017, Interference alignment for cellular networks with Jacobian eigenvalue. in Proceedings of the 2017 6th International Conference on Network, Communication and Computing, ICNCC 2017. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 179-182, 6th International Conference on Network, Communication and Computing, ICNCC 2017, Kunming, China, 8/12/17. https://doi.org/10.1145/3171592.3171634

Interference alignment for cellular networks with Jacobian eigenvalue. / Mbom, Christian Ango; Nyarko, James K.N.; Rugui, Yao et al.
Proceedings of the 2017 6th International Conference on Network, Communication and Computing, ICNCC 2017. Association for Computing Machinery, 2017. p. 179-182 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Interference alignment for cellular networks with Jacobian eigenvalue

AU - Mbom, Christian Ango

AU - Nyarko, James K.N.

AU - Rugui, Yao

AU - Wang, Ling

PY - 2017/12/8

Y1 - 2017/12/8

N2 - 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).

AB - 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).

KW - Interference Alignment

KW - Jacobian

KW - MIMO

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BT - Proceedings of the 2017 6th International Conference on Network, Communication and Computing, ICNCC 2017

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T2 - 6th International Conference on Network, Communication and Computing, ICNCC 2017

Y2 - 8 December 2017 through 10 December 2017

ER -

Interference alignment for cellular networks with Jacobian eigenvalue

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