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http://dx.doi.org/10.5573/ieie.2014.51.9.021

A Simple Toeplitz Channel Matrix Decomposition with Vectorization Technique for Large scaled MIMO System  

Park, Ju Yong (Department of Internet, Information & Communication, Shyngyeong University)
Hanif, Mohammad Abu (Division of Electronic Engineering, Chonbuk National University)
Kim, Jeong Su (Department of Computer, Information & Communication, Korea Soongsil Cyber University)
Song, Sang Seob (Division of Electronic Engineering, Chonbuk National University)
Lee, Moon Ho (Division of Electronic Engineering, Chonbuk National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.9, 2014 , pp. 21-29 More about this Journal
Abstract
Due to enormous number of user and limited memory space, the memory saving is become an important issue for big data service these days. In the large scaled multiple-input multiple-output (MIMO) system, the Teoplitz channel can play the significance rule to improve the performance as well as power efficiency. In this paper, we propose a Toeplitz channel decomposition based on matrix vectorization. Here we use Toeplitz matrix to the channel for large scaled MIMO system. And we show that the Toeplitz Jacket matrices are decomposed to Cooley-Tukey sparse matrices like fast Fourier transform (FFT).
Keywords
Toeplitz Matrix; Massive MIMO; Teoplitz Channel; Least-Square;
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