Channel Prediction Techniques for a Multi-User MIMO System in Time-Varying Environments-Reference-Cited by-同舟云学术

Channel Prediction Techniques for a Multi-User MIMO System in Time-Varying Environments

Published:2014 Issue:12 Volume:E97.B Page:2747-2755
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

YAMAGUCHI Kanako¹,BUI Huu Phu²,OGAWA Yasutaka¹,NISHIMURA Toshihiko¹,OHGANE Takeo¹

Affiliation:

1. Graduate School of Information Science and Technology, Hokkaido University

2. National Key Lab of Digital Control & System Engineering, University of Technology, Vietnam National University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E97.B/12/E97.B_2747/_pdf

Reference20 articles.

1. [1] Q.H. Spencer, C.B. Peel, and A.L. Swindlehurst, “An introduction to the multi-user MIMO downlink,” IEEE Commun. Mag., vol.42, no.3, pp.60-67, Oct. 2004.

2. [2] D. Gesbert, M. Kountouris, R. Heath, C.-B. Chae, and T. Salzer, “Shifting the MIMO paradigm,” IEEE Signal Process. Mag., vol.24, no.5, pp.36-46, Sept. 2007.

3. [3] Q.H. Spencer, A.L. Swindlehurst, and M. Haadt, “Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels,” IEEE Trans. Signal Process., vol.52, no.2, pp.461-471, Feb. 2004.

4. [4] R.L.U. Choi and R.D. Murch, “A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach,” IEEE Trans. Wireless Commun., vol.3, no.1, pp.20-24, Jan. 2004.

5. [5] K. Miyashita, T. Nishimura, T. Ohgane, Y. Ogawa, Y. Takatori, and K. Cho, “High data-rate transmission with eigenbeam-space division multiplexing (E-SDM) in a MIMO channel,” Proc. IEEE VTC 2002 Fall, vol.3, pp.1302-1306, Sept. 2002.

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