Efficient Algorithms with Modified QR Decompostion for Distributed Interference Alignment Based on Cognitive Radio

摘要：

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.

作者: Hufei Zhu Bin Li Wen Chen

作者单位: Dept.of Corporate Research,Huawei Technologies Co., Ltd., Shenzhen, P.R.China Dept.of Electronic Engineering,Shanghai Jiao Tong Univ.,Shanghai, P.R.China

会议类型: 国际会议

会议名称: 2010年无线通信与信号处理国际会议

会议地点: 上海

会议语种:英文

页码: 1-6

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）