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Application of unsupervised learning in implementation of joint power and index modulation access in V2X systems
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Lee, Sunyoung, Koufos, Konstantinos, Maple, Carsten and Dianati, Mehrdad (2023) Application of unsupervised learning in implementation of joint power and index modulation access in V2X systems. IEEE Transactions on Cognitive Communications and Networking . doi:10.1109/TCCN.2023.3276992 ISSN 2372-2045. (In Press)
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WRAP-application-unsupervised-learning-implementation-joint-power-index-modulation-Koufos-2023.pdf - Accepted Version - Requires a PDF viewer. Download (1642Kb) | Preview |
Official URL: https://doi.org/10.1109/TCCN.2023.3276992
Abstract
The implementation of joint Power-and-Index Modulation Access (PIMA), which is an effective way of realizing non-orthogonal multiple access (NOMA), requires a process of user ordering over the available subcarriers, before multiplexing their data streams for power and index modulation. The conventional way of user ordering in NOMA with respect to the channel state information can be impractical and expensive given the large numbers of users and subcarriers, in Vehicle-to-Everything (V2X) communications. Therefore, this paper proposes a novel approach that leverages K-Means clustering to learn the pattern of multi-user multi-carrier energy variations and use them to effectively order the users. For this, we develop several learning algorithms and an analytical model for the Symbol Error Probability (SEP) of PIMA, which is used to quickly generate part of the training dataset (transfer learning). The results of the comprehensive evaluations that have been carried out in this study show that the proposed approach outperforms the benchmark techniques in terms of SEP. It is also shown that the proposed scheme provides improved performance in terms of SEP as compared to distance-based ordering in realistic V2X scenarios using synthetic mobility traces for the locations of vehicles along multi-lane highways.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TE Highway engineering. Roads and pavements T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Vehicular ad hoc networks (Computer networks), Multiple access protocols (Computer network protocols), Wireless communication systems | ||||||
| Journal or Publication Title: | IEEE Transactions on Cognitive Communications and Networking | ||||||
| Publisher: | IEEE | ||||||
| ISSN: | 2372-2045 | ||||||
| Official Date: | 17 May 2023 | ||||||
| Dates: |
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| DOI: | 10.1109/TCCN.2023.3276992 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | In Press | ||||||
| Reuse Statement (publisher, data, author rights): | © 2023 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: | 12 May 2023 | ||||||
| Date of first compliant Open Access: | 12 May 2023 | ||||||
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