New robust iterative minimum mean squared error-based interference alignment algorithm

The Journal of Engineering

Atílio Gameiro¹  Daniel Castanheira¹  Sara Teodoro¹  Adão Silva¹  Rui Dinis² 

[1] DETI, Instituto de Telecomunicações, Universidade de Aveiro, Aveiro, Portugal;Faculdade de Ciências e Tecnologia, Instituto de Telecomunicações, Universidade Nova de Lisboa, Caparica, Portugal

关键词: IA design;    interference alignment algorithm;    channel estimation errors;    imperfect channel state information;    quantisation errors;    CSI errors;    IA-MMSE algorithms;    iterative minimum mean squared error;    degrees of freedom;    multiple input multiple output interference channels based systems;   

DOI  :  10.1049/joe.2013.0098

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

Interference alignment (IA) is a promising technique for multiple input multiple output interference channels based systems, achieving the theoretical bound on degrees of freedom. However, these gains are reduced in the presence of imperfect channel state information (CSI), because of quantisation or channel estimation errors. In this Letter, the authors propose a new robust iterative IA minimum mean squared error-based algorithm, which includes these channel errors in the IA design. The results show that the proposed robust IA algorithm outperforms the known IA-MMSE algorithms, for low-to-moderate variance of CSI errors.

【 授权许可】

CC BY