Design of Precoding Matrix Scheme Based on Maximizing Frobenius Norm to Interference Alignment

Zhao, Junhui1,2; Liu, Yunyi1; Gong, Yi3

10.1109/WCSP.2017.8170919

2017

2325-3746

2017 9TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP)

2017-January

1-5

Nanjing, China

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Interference alignment (IA) is a revolutionary wireless transmission strategy which can reduce the impact of interference and facilitate interference cancellation techniques. The idea of IA is to coordinate multiple transmitters so that their mutual interference can be aligned into the interference space. According to projection theory of subspace, in this paper, we propose a pre-coding matrix design scheme based on the maximizing Frobenius norm and use the zero-forcing (ZF) and minimum-mean-square-error (MMSE) to design the interference suppression matrix. Compared to the distributed IA algorithms and the steepest descent (SD)-based IA algorithm, simulation results demonstrate that this scheme greatly improves the channel capacity and reduces the computational complexity.

Interference alignment Frobenius norm ZF MMSE Channel capacity

其他

英语

CPCI-S ; EI

State Key Laboratory of Rail Traffic Control and Safety[RCS2017K009]

Computer Science ; Engineering ; Telecommunications

Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic ; Telecommunications

WOS:000426972200045

20181905142623

Channel capacity ; Mean square error ; Wireless telecommunication systems

Information Theory and Signal Processing:716.1 ; Mathematical Statistics:922.2

Web of Science

1.Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
2.East China Jiaotong Univ, Sch Informat Engn, Nanchang 330013, Jiangxi, Peoples R China
3.South Univ Sci & Technol China, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China

Zhao, Junhui,Liu, Yunyi,Gong, Yi. Design of Precoding Matrix Scheme Based on Maximizing Frobenius Norm to Interference Alignment[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:1-5.