Linear finite state Markov chain predictor for channel prediction

Jian Zhang; David Smith; Zhuo Chen

doi:10.1109/PIMRC.2012.6362698

Linear finite state Markov chain predictor for channel prediction

Jian Zhang^*, David Smith, Zhuo Chen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

Channel prediction, which predicts a future channel gain based on current and past observations, is very useful for power control and resource optimization in wireless communication systems. However, a low-complexity predictor with trustworthy prediction accuracy is yet to be developed. This paper proposes a linear predictor and two linear Markov predictors, which achieve a good balance between complexity and accuracy.

Original language	English
Title of host publication	2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012
Pages	2085-2089
Number of pages	5
DOIs	https://doi.org/10.1109/PIMRC.2012.6362698
Publication status	Published - 2012
Event	2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012 - Sydney, NSW, Australia Duration: 9 Sept 2012 → 12 Sept 2012

Publication series

Name	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Conference

Conference	2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012
Country/Territory	Australia
City	Sydney, NSW
Period	9/09/12 → 12/09/12

Access to Document

10.1109/PIMRC.2012.6362698

Cite this

Zhang, J., Smith, D., & Chen, Z. (2012). Linear finite state Markov chain predictor for channel prediction. In 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012 (pp. 2085-2089). Article 6362698 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC). https://doi.org/10.1109/PIMRC.2012.6362698

@inproceedings{504400b5efb44599bc641a8619a7ec15,

title = "Linear finite state Markov chain predictor for channel prediction",

abstract = "Channel prediction, which predicts a future channel gain based on current and past observations, is very useful for power control and resource optimization in wireless communication systems. However, a low-complexity predictor with trustworthy prediction accuracy is yet to be developed. This paper proposes a linear predictor and two linear Markov predictors, which achieve a good balance between complexity and accuracy.",

author = "Jian Zhang and David Smith and Zhuo Chen",

year = "2012",

doi = "10.1109/PIMRC.2012.6362698",

language = "English",

isbn = "9781467325691",

series = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",

pages = "2085--2089",

booktitle = "2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012",

note = "2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012 ; Conference date: 09-09-2012 Through 12-09-2012",

}

Zhang, J, Smith, D & Chen, Z 2012, Linear finite state Markov chain predictor for channel prediction. in 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012., 6362698, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, pp. 2085-2089, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012, Sydney, NSW, Australia, 9/09/12. https://doi.org/10.1109/PIMRC.2012.6362698

Linear finite state Markov chain predictor for channel prediction. / Zhang, Jian; Smith, David; Chen, Zhuo.
2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012. 2012. p. 2085-2089 6362698 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Linear finite state Markov chain predictor for channel prediction

AU - Zhang, Jian

AU - Smith, David

AU - Chen, Zhuo

PY - 2012

Y1 - 2012

N2 - Channel prediction, which predicts a future channel gain based on current and past observations, is very useful for power control and resource optimization in wireless communication systems. However, a low-complexity predictor with trustworthy prediction accuracy is yet to be developed. This paper proposes a linear predictor and two linear Markov predictors, which achieve a good balance between complexity and accuracy.

AB - Channel prediction, which predicts a future channel gain based on current and past observations, is very useful for power control and resource optimization in wireless communication systems. However, a low-complexity predictor with trustworthy prediction accuracy is yet to be developed. This paper proposes a linear predictor and two linear Markov predictors, which achieve a good balance between complexity and accuracy.

UR - http://www.scopus.com/inward/record.url?scp=84871998763&partnerID=8YFLogxK

U2 - 10.1109/PIMRC.2012.6362698

DO - 10.1109/PIMRC.2012.6362698

M3 - Conference contribution

SN - 9781467325691

T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

SP - 2085

EP - 2089

BT - 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012

T2 - 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012

Y2 - 9 September 2012 through 12 September 2012

ER -

Linear finite state Markov chain predictor for channel prediction

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this