Abstract
Channel measurement plays an important role in the emerging 5G-enabled Internet of Things (IoT) networks, which reflects the channel quality and link reliability. In this paper, we address the channel measurement for link reliability evaluation in filter-bank multicarrier with offset quadrature amplitude modulation- (FBMC/OQAM-) based IoT network, which is considered as a promising technique for future wireless communications. However, resulting from the imaginary interference and the noise correlation among subcarriers in FBMC/OQAM, the existing frequency correlation method cannot be directly applied in the FBMC/OQAM-based IoT network. In this study, the concept of the block repetition is applied in FBMC/OQAM. It is demonstrated that the noises among subcarriers are independent by the block repetition and linear combination, instead of correlated. On this basis, the classical frequency correlation method can be applied to achieve the channel measurement. Then, we also propose an advanced frequency correlation method to improve the accuracy of the channel measurement, by assuming channel frequency responses to be quasi-invariant for several successive subcarriers. Simulations are conducted to validate the proposed schemes.
Highlights
The evaluation of the link reliability is required in the emerging 5G-enabled Internet of Things (IoT) networks, and based on the evaluation, the network performance can be enhanced by the power control or cell selection [1]
We focus on the channel measurement for link reliability evaluation in filter-bank multicarrier with offset quadrature amplitude modulation- (FBMC/ OQAM-) based IoT networks
The corresponding text is shown in the following: (i) By using the block repetition, the noises at the receiver subcarriers are demonstrated to not be correlated, which is a key difference from the existing concept on noise distribution in FBMC/OQAM systems (ii) Based on the mentioned-above features, the classical frequency correlation method can be employed in FBMC/OQAM to achieve the channel measurement (iii) We propose an improved frequency correlation method to improve the accuracy of channel measurement.”
Summary
The evaluation of the link reliability is required in the emerging 5G-enabled Internet of Things (IoT) networks, and based on the evaluation, the network performance can be enhanced by the power control or cell selection [1]. Due to the low complexity and satisfactory performance, the classical frequency correlation method has been widely adopted for the channel measurement and noise estimation in various 3GPP proposals [10, 11] These existing algorithms were proposed for OFDM-based networks. We propose an advanced frequency correlation method to improve the accuracy of the channel measurement in FBMC/OQAM-based wireless networks, by assuming channel frequency responses to be quasi-invariant for several successive subcarriers. (i) By using the block repetition, the noises at the receiver subcarriers are demonstrated to not be correlated, which is a key difference from the existing concept on noise distribution in FBMC/OQAM systems (ii) Based on the mentioned-above features, the classical frequency correlation method can be employed in FBMC/OQAM to achieve the channel measurement (iii) We propose an improved frequency correlation method to improve the accuracy of channel measurement.”
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