4.6 Article

Joint User Pairing and Power Allocation for NOMA-Based GEO and LEO Satellite Network

期刊

IEEE ACCESS
卷 9, 期 -, 页码 93255-93266

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3078458

关键词

NOMA; Low earth orbit satellites; Satellite broadcasting; Satellites; Resource management; Interference; Throughput; Multi-layer satellite networks; non-orthogonal multiple access; user pairing; power allocation

资金

  1. National Natural Science Foundation of China [61971440, 61901502]
  2. Research Project of National University of Defense Technology (NUDT) [ZK18-02-11]

向作者/读者索取更多资源

This paper investigates a joint user pairing and power allocation scheme in a NOMA-based satellite network to maximize system capacity, solving the non-convex problem through virtual users and iterative algorithms. Simulation results confirm the effectiveness and superiority of the proposed schemes compared to existing ones.
Multi-layer satellite networks (MLSNs) is of great potential for the integrated 5G networks to provide diversified services. However, MLSNs confront frequency interference coordination problem between satellite systems in different orbits. This paper investigates a joint user pairing and power allocation scheme in a non-orthogonal multiple access (NOMA)-based geostationary earth orbit (GEO) and low earth orbit (LEO) satellite network. Specifically, a novel NOMA framework with two uplink receivers, i.e. the GEO and LEO satellites is established where the NOMA groups are formed considering the subcarrier assignment of ground users. To maximize the system capacity, an optimization problem is then introduced subject to the decoding threshold and power consumption. Since the formulated problem is non-convex and mathematically intractable, we decompose it into user pairing and power allocation schemes. In the user pairing scheme, virtual GEO users are generated to transform the multi-user pairing problem into a matching problem and a max-min pairing strategy is adopted to ensure the fairness among NOMA groups. In the power allocation scheme, the non-convex problem is transformed into multiple convex subproblems and solved by iterative algorithm. Simulation results validate the effectiveness and superiority of the proposed schemes when compared with several existing schemes.

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