Efficient algorithms with modified QR decompostion for Distributed Interference Alignment based on Cognitive Radio

Author

Zhu, Hufei ; Li, Bin ; Chen, Wen

Author_Institution

Dept. of Corp. Res., Huawei Technol. Co., Ltd., Shenzhen, China

fYear

2010

fDate

21-23 Oct. 2010

Firstpage

1

Lastpage

6

Abstract

We propose efficient minor subspace tracking (MST) algorithms to implement Distributed Interference Alignment (IA) based on Cognitive Radio (CR) that employs Interference Subspace Tracking (IST). The proposed MST algorithms utilize modified QR decomposition that decomposes a matrix into a unitary matrix and a lower triangular matrix. With respect to the existing practical and efficient MST algorithm for IST-IA, the proposed MST algorithms require less computational complexity.

Keywords

cognitive radio; interference (signal); matrix decomposition; radio tracking; MST algorithms; QR decomposition; cognitive radio; distributed interference alignment; interference subspace tracking; lower triangular matrix; matrix decomposition; minor subspace tracking; unitary matrix; Algorithm design and analysis; Covariance matrix; Downlink; Interference; Matrix decomposition; Receivers; Training; Cognitive Radio (CR); Distributed IA; Interference Alignment (IA); Interference Subspace Tracking (IST);

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Signal Processing (WCSP), 2010 International Conference on

Conference_Location

Suzhou

Print_ISBN

978-1-4244-7556-8

Electronic_ISBN

978-1-4244-7554-4

Type

conf

DOI

10.1109/WCSP.2010.5630072

Filename

5630072