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Sequential channel estimation in the presence of random phase noise in NB-IoT systems

Rusek, Fredrik LU and Hu, Sha LU (2018) 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017 In 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications 2017-October. p.1-5
Abstract

We consider channel estimation (CE) in narrowband Internet-of-Things (NB-IoT) systems. Due to the fluctuations in phase within receiver and transmitter oscillators, and also the residual frequency offset (FO) caused by discontinuous receiving of repetition coded transmit data-blocks, random phase noises are presented in received signals. Although the coherent-time of fading channel can be assumed fairly long due to the low-mobility of NB-IoT user-equipments (UEs), such phase noises have to be considered before combining the the channel estimates over repetition copies to improve their accuracies. In this paper, we derive a sequential minimum-mean-square-error (MMSE) channel estimator in the presence of random phase noise that refines... (More)

We consider channel estimation (CE) in narrowband Internet-of-Things (NB-IoT) systems. Due to the fluctuations in phase within receiver and transmitter oscillators, and also the residual frequency offset (FO) caused by discontinuous receiving of repetition coded transmit data-blocks, random phase noises are presented in received signals. Although the coherent-time of fading channel can be assumed fairly long due to the low-mobility of NB-IoT user-equipments (UEs), such phase noises have to be considered before combining the the channel estimates over repetition copies to improve their accuracies. In this paper, we derive a sequential minimum-mean-square-error (MMSE) channel estimator in the presence of random phase noise that refines the CE sequentially with each received repetition copy, which has a low-complexity and a small data storage. Further, we show through simulations that, the proposed sequential MMSE estimator improves the mean-square-error (MSE) of CE by around 1 dB in the low signal-to-noise ratio (SNR) regime, compared to a traditional sequential MMSE estimator that does not thoroughly consider the impact of random phase noises.

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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
volume
2017-October
pages
5 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017
external identifiers
  • scopus:85045289172
ISBN
9781538635315
DOI
10.1109/PIMRC.2017.8292588
language
English
LU publication?
yes
id
8e05cbf5-6841-4eef-85a0-18c2fc77c051
date added to LUP
2018-04-25 13:21:07
date last changed
2018-05-29 11:57:19
@inproceedings{8e05cbf5-6841-4eef-85a0-18c2fc77c051,
  abstract     = {<p>We consider channel estimation (CE) in narrowband Internet-of-Things (NB-IoT) systems. Due to the fluctuations in phase within receiver and transmitter oscillators, and also the residual frequency offset (FO) caused by discontinuous receiving of repetition coded transmit data-blocks, random phase noises are presented in received signals. Although the coherent-time of fading channel can be assumed fairly long due to the low-mobility of NB-IoT user-equipments (UEs), such phase noises have to be considered before combining the the channel estimates over repetition copies to improve their accuracies. In this paper, we derive a sequential minimum-mean-square-error (MMSE) channel estimator in the presence of random phase noise that refines the CE sequentially with each received repetition copy, which has a low-complexity and a small data storage. Further, we show through simulations that, the proposed sequential MMSE estimator improves the mean-square-error (MSE) of CE by around 1 dB in the low signal-to-noise ratio (SNR) regime, compared to a traditional sequential MMSE estimator that does not thoroughly consider the impact of random phase noises.</p>},
  author       = {Rusek, Fredrik and Hu, Sha},
  booktitle    = {2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications},
  isbn         = {9781538635315},
  language     = {eng},
  month        = {02},
  pages        = {1--5},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Sequential channel estimation in the presence of random phase noise in NB-IoT systems},
  url          = {http://dx.doi.org/10.1109/PIMRC.2017.8292588},
  volume       = {2017-October},
  year         = {2018},
}