ID 原文 译文
18215 其次，在考虑应用场景间的时空差异导致的无线资源利用不均衡现象，提出了共享比例公平方案以实现对无线资源的高效及差异化利用。 Secondly, considering the imbalance of radio resource utilization caused bythe space-time characteristic among application scenarios, a shared proportional fairness scheme is proposed toutilize radio resources efficiently and differently.
18216 最后，为了保证切片服务需求，采用线性规划障碍方法求解最优的切片权重分配，使切片负载变化容忍度最大化。 Finally, in order to ensure the requirements of slicing service,linear programming obstacle method is used to solve the optimal slice weight distribution to maximize the sliceload variation tolerance.
18217 仿真结果表明，共享比例公平方案相比于静态切片方案平均比特传输时延(BTD)更小，在每切片用户数为30的情况下均匀分布用户负载场景中二者的BTD增益为1.4038，且在不同的用户负载分布场景下都能求出最优的切片权重分配。 Simulation results show that the shared proportional fairness scheme has smalleraverage Bit Transmission Delay (BTD) than the static slicing scheme, and the optimal slice weight distributioncan be obtained under different user load distribution scenarios. The BTD gain achieves 1.4038 in the uniformuser load scenario with 30 users per slice.
18218 无人机(UAV)的便携性和高机动性使其与认知无线电(CR)结合的应用场景更加实用。 The application of Unmanned Air Vehicles (UAV)-enabled Cognitive Radio (CR) is widely used dueto the convenience and high mobility of the UAV.
18219 在构建的无人机认知无线网络(CRN)模型中，该文提出UAV单弧度吞吐量优化方案，在确保检测概率的前提下优化感知弧度最大化UAV平均吞吐量。 In the UAV-based Cognitive Radio Network (CRN), thethroughput optimization scheme in single radian is firstly investigated, in which the sensing radian is optimizedto maximize the average throughput of UAV.
18220 考虑在信道条件不理想情况下进一步改善感知性能，提出基于协作频谱感知(CSS)的多弧度吞吐量优化方案，利用交替迭代优化(AIO)算法对感知弧度和弧度数量进行联合优化以最大化吞吐量。 Then, a multi-radian throughput optimization scheme based onCooperative Spectrum Sensing (CSS) is studied to improve the sensing performance under the non-idealchannel, and the throughput of the UAV is maximized by utilizing an Alternative Iterative Optimization (AIO)algorithm.
18221 仿真结果表明，该文提出的多弧度协作频谱感知方案在信道衰落严重时，对于主用户(PU)服务质量(QoS)和UAV吞吐量有明显提升。 The simulation results show that the proposed scheme has better performance on improving the throughput of the UAV and ensuring the Quality-of-Service (QoS) of the Primary User (PU) when the channel fading is serious.
18222 为减小光照不均与随机抖动对胸环靶着弹检测精度的影响，该文提出一种融合时空上下文信息的胸环靶着弹检测算法。 A detection algorithm based on spatio-temporal context information is proposed to reduce the influence of non-uniform illumination and random jitter on the accuracy of target hole detection.
18223 利用目标及其邻域的空间上下文信息进行光照均衡化，并提取胸环靶序列间时域运动上下文信息进行抖动校正。 The light equalization is carried out by using the spatial context information of target and its neighborhood, and the temporal motion context information between chest bitmap sequences is extracted for dithering correction.
18224 为提高胸环靶图像的稳定性，该算法提出多参数融合方法对抖动校正后的序列图像进行像素级融合。 In order to improve the stability of chest bitmaps, a multi-parameter fusion method is proposed to perform pixel-level fusion of jitter corrected sequence images.