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

벡터화 기술을 이용한 대규모 MIMO 시스템의 간단한 Toeplitz 채널 행렬 분해

  • 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)
  • Received : 2014.04.29
  • Accepted : 2014.09.01
  • Published : 2014.09.25

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).

오늘날 수많은 사용자와 제한된 메모리 공간 때문에 빅 데이터(big data)를 위한 메모리 공간 문제가 중요한 이슈로 부상하고 있다. 대규모 MIMO 시스템에서 Toeplitz 채널은 전력효율 문제뿐아니라 성능 개선에 커다란 역할을 할 수 있다. 본 논문에서는 행렬 벡터화(vectorization)에 기반한 Toeplitz 채널 분해를 제안하고, 이때 대규모 MIMO 시스템을 위한 채널에 Toeplitz 행렬을 사용하며, 또 Toeplitz Jackrt행렬이 푸리에 고속 변환(FFT)처럼 Cooley-Tukey sparse 행렬로 분해됨을 보인다.

Keywords

References

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