ID 原文 译文
3803 仿真结果表明了所提出的认知协作 NOMA方案在降低中断概率、提高吞吐量方面的有益效果， The simulation results show that the proposed cognitive cooperative NOMA communication scheme is beneficial in re-ducing secrecy outage probability and increasing secrecy throughput.
3804 并且进一步给出了人工噪声功率分配因子对系统性能的影响。 Furthermore, the influence of AN power allocationfactor on system performance is given.
3805 为了改善深空通信质量，在深空中引入了混合 RF-FSO 系统以及混合 LPPM-BPSK-SIM 调制。 In order to improve the quality of deep space communication, a mixed RF-FSO system and hybridLPPM-BPSK-SIM scheme were introduced in deep space.
3806 在不同太阳风波动的环境中，对比分析了采用混合 RF-FSO 系统与 FSO 系统的误码率特性。 The bit error rate of the hybrid RF-FSO system and the FSOsystem were compared and analyzed under the impact of solar wind fluctuation.
3807 仿真结果表明，深空通信中，采用混合 RF-FSO 系统的误码率低于传统 FSO 系统。当采用混合 LPPM-BPSK-SIM 时，系统性能又得到进一步提升。 The simulation results indicate that thedeep space communication system achieves better bit error rate performance by using hybrid RF-FSO system, and thesystem performance can be further enhanced by adopting hybrid LPPM-BPSK-SIM.
3808 研究多输入多输出全双工双向通信系统中，合法节点在接收信息的同时向对方发送保密信息，并协同发送人工噪声的物理层安全方案的预编码矩阵设计。 The design of precoding matrices was studied in the multiple input multiple output (MIMO) full-duplextwo-way security communication system where legitimate nodes transmit the confidential information accompanied by the artificial noise while receiving information.
3809 针对合法信道、窃听信道的信道状态信息完美的场景，使用DC 规划优化信息信号与人工噪声的预编码矩阵以最大化系统保密和速率。 For the scenario where the perfect channel state information (CSI) of le-gitimate channels and eavesdropping channels was available, the difference of concave/convex (DC) programming wasused to optimize the precoding matrices of the information signal and the artificial noise for the maximization of the se-crecy sum rate.
3810 对于信道 CSI 不完美的场景，使用最差准则建模信道，利用加权最小均方误差算法对预编码矩阵进行稳健设计。 For the scenario where the CSI was imperfect, the channels were modeled by using worst-case criterionand the weighted minimum mean square error algorithm was used to get the robust precoding matrices of the informationsignal and the artificial noise.
3811 仿真结果验证了优化算法能有效提高系统的保密和速率。 The simulation results prove that the proposed algorithm can effectively promote the se-crecy sum rate of the system.
3812 为实现车辆终端用户任务执行时延与处理速率、能耗的最佳均衡关系，针对车联网的边缘接入环境，提出了一种基于深度 Q 网络（DQN）的计算任务分发卸载算法。 In order to achieve the best balance between latency, computational rate and energy consumption, for a edgeaccess network of IoV, a distribution offloading algorithm based on deep Q network (DQN) was considered.