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Reliable detection of transmit-antenna number for MIMO systems in cognitive radio-enabled Internet of Things
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Zhang, Junlin, Liu, Minqqian, Zhang, Ning, Chen, Yunfei, Gong, Fengkui, Yang, Qinghai and Zhao, Nan (2022) Reliable detection of transmit-antenna number for MIMO systems in cognitive radio-enabled Internet of Things. IEEE Internet of Things Journal, 9 (13). pp. 11324-11335. doi:10.1109/JIOT.2021.3127747 ISSN 2327-4662.
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WRAP-Reliable-detection-transmit-antenna-number-MIMO-systems-cognitive-radio-enabled-I-of-Things-2021.pdf - Accepted Version - Requires a PDF viewer. Download (752Kb) | Preview |
Official URL: https://doi.org/10.1109/JIOT.2021.3127747
Abstract
Identification of transmit-antenna number is of importance in cognitive Internet of Things with multiple-input multiple-output (MIMO). Previous studies on transmit-antenna number detection only consider Gaussian noise and ignore impulsive interference. In the practical wireless communication, impulsive interference may exist due to low-frequency atmospheric noise, multiple access and electromagnetic disturbance. Such interference can usually be modeled as symmetric alpha stable (SαS), which cause the performance degradation of conventional algorithms based on Gaussian model. In this paper, we present a novel scheme to detect the transmit-antenna number for MIMO systems in cognitive Internet of Things, assuming that signals are corrupted by both SαS interference and Gaussian noise. We first introduce a new approach to characterize the generalized correlation matrix, and provide its bound with SαS interference. Then, the discriminating feature vector is constructed by utilizing the higher-order moments (HOM) of eigenvalues of the generalized correlation matrix. Finally, an advanced clustering algorithm is employed to detect the transmit-antenna number, using the cluster where the minimum eigenvalue is located. The proposed algorithm avoids the need for a priori information about the transmitted signals, such as coding mode, modulation type and pilot patterns. Simulation experiments demonstrate the feasibility of the proposed transmit-antenna number detection scheme in MIMO systems with Gaussian noise and SαS interference.
| Item Type: | Journal Article | |||||||||||||||
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| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | |||||||||||||||
| Library of Congress Subject Headings (LCSH): | Internet of things , Cognitive radio networks , Transmitting antennas , Parametric vibration , MIMO systems , Random noise theory | |||||||||||||||
| Journal or Publication Title: | IEEE Internet of Things Journal | |||||||||||||||
| Publisher: | IEEE | |||||||||||||||
| ISSN: | 2327-4662 | |||||||||||||||
| Official Date: | 1 July 2022 | |||||||||||||||
| Dates: |
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| Volume: | 9 | |||||||||||||||
| Number: | 13 | |||||||||||||||
| Page Range: | pp. 11324-11335 | |||||||||||||||
| DOI: | 10.1109/JIOT.2021.3127747 | |||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||
| Publication Status: | Published | |||||||||||||||
| Reuse Statement (publisher, data, author rights): | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||
| Date of first compliant deposit: | 19 November 2021 | |||||||||||||||
| Date of first compliant Open Access: | 22 November 2021 | |||||||||||||||
| RIOXX Funder/Project Grant: |
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