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Interference management in NOMA-enabled virtualized wireless networks

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Abstract

In this paper, we address the interference management problem in non-orthogonal multiple access (NOMA)-enabled virtualized wireless networks (VWNs) by using power allocation approaches. Specifically, the power resources of the base station (BS) are shared among different service providers (called the slices), where the maximum tolerant interference is considered for each slice to guarantee their interference isolation. The interference management (IM) problem is formulated aiming to maximize the sum-rate of the system subject to the slice interference isolation, the minimum required rates of the individual users, and the power budget constraints of the whole system. Then, an optimal interference management algorithm (IMA) is proposed to solve the IM problem in a centralized manner at the BS. In addition, a computational-complexity reduced IMA (CCRIMA) is proposed with the implementation in a semi-distributed manner within each slice to obtain a suboptimal IM solution. Simulation results show that the proposed optimal power allocation in IMA achieves a flexible interference management within each slice, while supporting the minimum rate requirements of all users by adjusting the maximum tolerant interference in the slice. Moreover, the proposed CCRIMA can approximate the optimal performance of IMA in terms of the sum-rate of the system with a little computational cost of the computational complexity in each slice.

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Data is obtained on execution of the code and no external data source is involved in the study.

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Acknowledgements

This work was supported by the Chinese Natural Science Foundation of Jiangsu Province under Grant No. BK20181032, the Major Projects of Natural Sciences of University of Jiangsu Province under Grant No. 20KJB510044b, and the Scientific Research Foundation of Changshu Institute of Technology under Grant No. KYZ2018004Q.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Changshu Institute of Technology, Suzhou, China

    Chengyi Liu & Yu Tao

  2. Department of Information Systems, California State University, Los Angeles, USA

    Song Xing

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  1. Chengyi Liu
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  2. Yu Tao
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Correspondence to Chengyi Liu.

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Liu, C., Tao, Y. & Xing, S. Interference management in NOMA-enabled virtualized wireless networks. Wireless Netw 28, 1457–1474 (2022). https://doi.org/10.1007/s11276-022-02911-3

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