UAVs are capable of improving the performance of next generation wireless systems. Specifically, UAVs can be exploited as aerial base-stations (UAV-BS) for supporting legitimate ground users in remote uncovered areas or in environments temporarily requiring high capacity. However, their communication performance is prone to both channel estimation errors and potential eavesdropping. Hence, we investigate the effective secrecy throughput of the UAV-aided uplink, in which rate-splitting multiple access (RSMA) is employed by each legitimate user for secure transmission under the scenario of massive access. To maximize the effective network secrecy throughput in the uplink, the transmission rate vs. power allocation relationship is formulated as a max-min optimization problem, relying on realistic imperfect CSI of both the legitimate users and of the potential eavesdroppers (Eves). We then propose a novel transformation of the associated probabilistic constraints for decoupling the variables, so that our design problem can be solved by alternatively activating the related block coordinate decent programming. In the model considered, each user transmits a superposition of two messages to a UAV-BS, each having different transmit power and the UAV-BS uses a SIC technique to decode the received messages. Given the non-convexity of the problem, it is decoupled into a pair of sub-problems. In particular, we derive a closed form expression for the optimal rate-splitting fraction of each user. Then, given the optimal rate-splitting fraction of each user, the \epsilon-constrainted transmit power of each user is calculated by harnessing SPCA programming.

中文翻译：

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上行链路无人机网络中的大规模速率拆分多路访问：有限反馈通道下的有效保密吞吐量最大化

无人机能够提高下一代无线系统的性能。具体而言，无人机可用作空中基站 (UAV-BS)，以支持偏远未覆盖区域或临时需要高容量环境中的合法地面用户。然而，它们的通信性能容易出现信道估计错误和潜在的窃听。因此，我们研究了无人机辅助上行链路的有效保密吞吐量，其中每个合法用户采用速率分离多址（RSMA）在海量接入场景下进行安全传输。为了最大化上行链路中的有效网络保密吞吐量，传输速率与功率分配关系被表述为一个最大最小优化问题，依赖于合法用户和潜在窃听者 (Eves) 的现实不完美 CSI。然后，我们提出了一种用于解耦变量的相关概率约束的新变换，以便我们的设计问题可以通过交替激活相关的块坐标体面编程来解决。在所考虑的模型中，每个用户向 UAV-BS 发送两个消息的叠加，每个 UAV-BS 具有不同的发射功率，并且 UAV-BS 使用 SIC 技术对接收到的消息进行解码。鉴于问题的非凸性，将其解耦为一对子问题。特别是，我们为每个用户的最佳速率分割分数推导出了一个封闭形式的表达式。然后，给定每个用户的最佳速率分割分数，