Analysis of Precoder Decomposition Algorithms for MIMO System Design

ABSTRACT

Wireless communication over Multiple Input and Multiple Output (MIMO) channel achieve increased transmission rate by dividing the input stream into a multitude of parallel data streams which are transmitted in parallel. Precoding at the transmitter aims to decompose the channel into an uncorrelated multiple subchannels using the channel decomposition technique so that data streams will be sent in parallel independent subchannels. The proposed analysis is to analyze the performances of the MIMO precoder using various channel decomposition algorithms are compared and its computational complexity is analyzed. The channel decomposition schemes considered are Singular Value Decomposition, Geometric Mean Decomposition, LDL^H, LU, Schur, QR and Jordan decomposition. The simulation and analytical results confirm that precoding for the MIMO channel decomposed by the QR scheme outperforms all the other precoding methods based on channel decomposition in the light of Bit Error Rate performance and involves a relatively lesser number of Floating Point Operations.

KEYWORDS:

• Channel decomposition
• MIMO
• Precoding
• Subchannel

Additional information

Notes on contributors

S. Markkandan

S Markkandan obtained his PhD from Anna University, Chennai in information and communication for his thesis in the area MIMO precoding and earlier obtained his MTech degree in computer and communication from SSN College of Engineering, Anna University. In June 2009, he joined the ECE Department of Anand Institute of Higher Technology. From March 2021, he is working as assistant professor at SRM TRP Engineering College. He has more than 10 years of experience in teaching and research.Email: [email protected]

R. Logeshwaran

R Logeshwaran currently pursuing his PhD from Anna University, Chennai in information and communication on the research topic “underwater MIMO communications” and earlier obtained his MTech degree in computer and communication from SSN College of Engineering, Anna University. In June 2009, he joined the ECE Department of Anand Institute of Higher Technology. He has more than 10 years of experience in teaching and research.

N. Venkateswaran

N Venkateswaran obtained his PhD from Anna University, Chennai in information and communication for his thesis in the area image compression and earlier obtained his MTech degree in communication systems from Pondicherry Engineering College, Pondicherry University. In June 20I0, he joined the ECE Department of SSN College of Engineering. Earlier to joining SSN, he was professor at Sri Venkateswara College of Engineering, Sriperumbudur, and served for 13 and a half years. He has more than 23 years of experience in teaching, research, and in addition 8 years of experience in the industry.Email: [email protected]