Large-Scale Rate-Splitting Multiple Access in Uplink UAV Networks: Effective Secrecy Throughput Maximization Under Limited Feedback Channel
Large-Scale Rate-Splitting Multiple Access in Uplink UAV Networks: Effective Secrecy Throughput Maximization Under Limited Feedback Channel
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DOI：
10.1109/tvt.2023.3253021
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发表时间：
2022-09
影响因子：
6.8
通讯作者：
Hamed Bastami;H. Behroozi;Majid Moradikia;Ahmed M Abdelhadi;D. W. K. Ng;L. Hanzo
中科院分区：
文献类型：
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作者：
Hamed Bastami;H. Behroozi;Majid Moradikia;Ahmed M Abdelhadi;D. W. K. Ng;L. Hanzo
无人机（UAV）能够提高下一代无线系统的性能。然而，它们的通信性能容易受到信道估计错误和潜在窃听的影响。因此，我们调查的有效网络保密吞吐量（ENST）的上行无人机网络，其中速率分裂多址接入（RSMA）是由每个合法用户的安全传输下的大规模访问的情况下。为了最大限度地提高ENST，传输速率与功率分配的关系制定为一个最大-最小优化问题，依赖于现实的不完美的信道状态信息（CSI）的合法用户和被动窃听（$Eves$）。在所考虑的模型中，每个用户向UAV基站（UAV-BS）发送两个消息的叠加，每个UAV-BS具有不同的发送功率，并且UAV-BS采用连续干扰消除（SIC）技术来解码接收到的消息。考虑到问题的非凸性，它被解耦成一对子问题。特别是，我们推导出每个用户的最佳速率分裂分数的封闭形式的表达式。然后，给定每个用户的最优速率分裂分数，利用序贯参数凸近似（SPCA）规划计算每个用户的$\N $约束的发射功率。我们的仿真结果证实，该计划设想显着提高ENST相比，现有的正交和非正交基准。
Unmanned aerial vehicles (UAVs) are capable of improving the performance of next generation wireless systems. However, their communication performance is prone to both channel estimation errors and potential eavesdropping. Hence, we investigate the effective network secrecy throughput (ENST) of the uplink UAV network, in which rate-splitting multiple access (RSMA) is employed by each legitimate user for secure transmission under the scenario of massive access. To maximize the ENST, the transmission rate versus power allocation relationship is formulated as a max-min optimization problem, relying on realistic imperfect channel state information (CSI) of both the legitimate users and passive eavesdroppers ($Eves$). In the model considered, each user transmits a superposition of two messages to a UAV base-stations (UAV-BS), each having different transmit power and the UAV-BS adopts a successive interference cancellation (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 sequential parametric convex approximation (SPCA) programming. Our simulation results confirm that the scheme conceived significantly improves the ENST compared to both the existing orthogonal and non-orthogonal benchmarks.