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Power Allocation of Relay-Aided NOMA V2V System with Imperfect SIC

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Proceedings of the 2nd International Conference on Internet of Things, Communication and Intelligent Technology (IoTCIT 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1197))

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Abstract

In this paper, a relay-aided non-orthogonal multiple access (NOMA) vehicle-to-vehicle (V2V) system model is proposed. The outdated channel state information (CSI) is derived based on the three-dimensional two-cylinder channel model. And the residual interference is derived using outdated CSI to characterize the degree of successive interference cancellation (SIC), i.e., perfect SIC and imperfect SIC. A power distribution scheme was presented to maximum the sum achievable rate of relay-aided NOMA-V2V system under consideration of residual interference. The effects of power allocation coefficient, imperfect SIC, transmission power ends on the achievable rates are analyzed for the relay-aided NOMA-V2V system. It provides theoretical guidance for V2V network on which multiple access method should be chosen.

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Authors and Affiliations

  1. Hebei University, Baoding, 071002, Hebei, China

    Xiaolin Liang, Xujing Shi, Jianbo Li & Jiaxu Ma

Authors
  1. Xiaolin Liang
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  2. Xujing Shi
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  3. Jianbo Li
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  4. Jiaxu Ma
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Corresponding author

Correspondence to Xujing Shi .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, Hunan, China

    Jian Dong

  2. School of Information Engineering, Shenzhen University, Shenzhen, Guangdong, China

    Long Zhang

  3. School of Information and Control Engineering, China University of Mining and Technolog, Xuzhou, Jiangsu, China

    Deqiang Cheng

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Liang, X., Shi, X., Li, J., Ma, J. (2024). Power Allocation of Relay-Aided NOMA V2V System with Imperfect SIC. In: Dong, J., Zhang, L., Cheng, D. (eds) Proceedings of the 2nd International Conference on Internet of Things, Communication and Intelligent Technology. IoTCIT 2023. Lecture Notes in Electrical Engineering, vol 1197. Springer, Singapore. https://doi.org/10.1007/978-981-97-2757-5_41

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  • DOI: https://doi.org/10.1007/978-981-97-2757-5_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-2756-8

  • Online ISBN: 978-981-97-2757-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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