Gradient Descent Direction Random Walk MIMO Detection Using Intermediate Search Point-Reference-Cited by-同舟云学术

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Gradient Descent Direction Random Walk MIMO Detection Using Intermediate Search Point

Published:2023-11-01 Issue:11 Volume:E106.B Page:1192-1199
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

ITO Naoki¹,SANADA Yukitoshi¹

Affiliation:

1. Dept. of Electronics and Electrical Engineering, Keio University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E106.B/11/E106.B_2023EBT0002/_pdf

Reference9 articles.

1. [1] NTT DOCOMO, INC., “White paper: 5G evolution and 6G (version 4.0),” Jan. 2022.

2. [2] X. Zhu and R.D. Murch, “Performance analysis of maximum likelihood detection in a MIMO antenna system,” IEEE Trans. Commun., vol.50, no.2, pp.187-191, Feb. 2002. 10.1109/26.983313

3. [3] T. Datta, N.A. Kumar, A. Chockalingam, and B.S. Rajan, “A novel Monte-Carlo-sampling-based receiver for large-scale uplink multiuser MIMO systems,” IEEE Trans. Veh. Technol., vol.62, no.7, pp.3019-3038, Sept. 2013. 10.1109/tvt.2013.2260572

4. [4] Z. Wang and C. Ling, “Lattice Gaussian sampling by Markov chain Monte Carlo: Bounded distance decoding and trapdoor sampling,” IEEE Trans. Inf. Theory, vol.65, no.6, pp.3630-3645, June 2019. 10.1109/tit.2019.2901497

5. [5] Z. Wang and C. Ling, “On the geometric ergodicity of metropolis-hastings algorithms for lattice Gaussian sampling,” IEEE Trans. Inf. Theory, vol.64, no.2, pp.738-751, Feb. 2018. 10.1109/tit.2017.2742509

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2. Gradient Descent Direction Random Walk MIMO Detection Using Intermediate Search Point;IEICE Transactions on Communications;2023-11-01

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