Volume 4, Issue 1, January 2019, Page: 1-5
LS Interference Alignment Algorithm Based on Symbol Detection Assistance
Guoqing Jia, College of Physics and Electronic Information, Qinghai Nationalities University, Xining, China
Junjun Du, College of Physics and Electronic Information, Qinghai Nationalities University, Xining, China
Xuebin Zheng, Mechanical and Electrical Engineering, Hebei Normal University of Science & Technology, Qinghuangdao, China
Received: Dec. 23, 2018;       Accepted: Jan. 14, 2019;       Published: Apr. 18, 2019
DOI: 10.11648/j.mcs.20190401.11      View  44      Downloads  37
With the rapid growth of network users, how to increase the system capacity has become an urgent problem for the current communication system in the case of limited spectrum resources. The introduction of multi-user systems has increased system capacity, but it has also led to inter-user interference, which has further affected system capacity. To solve the multi-user interference problem, interference alignment is introduced. Interference Alignment (IA) is an interference cancellation technique that effectively eliminates the effects of interfering signals by compressing the interfering signal into a space independent of the desired signal and then forcing the interfering signal to zero at the receiving end. However, in practical applications, interference-aligned transceivers require a joint design, which is often difficult to achieve. The traditional approach is to mathematically expect it, but it also leads to some degree of irrationality in the transceiver design. In this paper, based on the traditional least square interference alignment (LS-IA) algorithm, a symbol-detection-assisted least square interference alignment (SDA-LS-IA) algorithm is proposed for its shortcomings in transceiver algorithm design. Firstly, based on the precoding matrix and the zero-forcing matrix of the transceiver designed by the traditional LS-IA, the symbol detection is performed, and then the transceiver is designed again according to the detection symbol, and then the symbol detection is performed. The computer simulation proves that the proposed algorithm has better anti-interference performance than the traditional LS-IA.
Interference Alignment (IA), Interference Cancellation, Least Squares (LS), Symbol Detection Assistance
To cite this article
Guoqing Jia, Junjun Du, Xuebin Zheng, LS Interference Alignment Algorithm Based on Symbol Detection Assistance, Mathematics and Computer Science. Vol. 4, No. 1, 2019, pp. 1-5. doi: 10.11648/j.mcs.20190401.11
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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