Sequential channel estimation in the presence of random phase noise in NB-IoT systems
(2018) 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017 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.
(Less)
- author
- Rusek, Fredrik LU and Hu, Sha LU
- organization
- publishing date
- 2018-02-14
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications : Engaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings - Engaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings
- volume
- 2017-October
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017
- conference location
- Montreal, Canada
- conference dates
- 2017-10-08 - 2017-10-13
- 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
- 2022-05-03 02:41:16
@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 : Engaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings}},
isbn = {{9781538635315}},
language = {{eng}},
month = {{02}},
pages = {{1--5}},
publisher = {{IEEE - 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}},
doi = {{10.1109/PIMRC.2017.8292588}},
volume = {{2017-October}},
year = {{2018}},
}