ID 原文 译文
18295 A组用户使用相互正交的导频，B组用户则借助联盟博弈来重复使用剩余的正交导频。 The users ofgroup A use mutually orthogonal pilots, and the users of group B reuse the remaining orthogonal pilots bymeans of alliance game.
18296 在B组用户的联盟博弈中，用户被分成若干个互不相交的用户子联盟，属于不同子联盟的用户分配不同的相互正交导频序列，而属于同一子联盟中的用户使用相同的导频序列。 In the alliance game for the users of group B, users are divided into several disjointuser sub-alliances, users belonging to different sub-alliances are allocated different orthogonal pilot sequences,and users in the same sub-alliance reuse the same pilot sequence.
18297 与已有的导频分配方案相比，该文提出的JUG-AG方案更灵活，可以用于所有用户随机分布的场景。 Compared with the existing pilot allocationschemes, the proposed JUG-AG scheme is more flexible and can be used for scenarios that all users arerandomly distributed.
18298 而且，该算法通过循环搜索可以获得整体最优解。 Moreover, the algorithm can obtain the overall optimal solution through cyclic searching.
18299 仿真结果表明JUG-AG方案能够有效降低上行链路中用户信号检测的平均均方根误差(RMSE)，而且可以提高用户的平均服务速率。 The simulation results demonstrate that the JUG-AG scheme can effectively reduce the average Root MeanSquare Error (RMSE) of user signal detection in the uplink and improve the average service rate of users.
18300 针对云增强型光纤-无线(FiWi)网络能耗以及卸载的通信开销过大问题，该文提出一种自适应卸载压缩节能机制(ESAOC)， In cloudlet enhanced Fiber-Wireless (FiWi) network, there is a problem that energy consumption andcommunication overhead of offloading are too large. An Energy Saving mechanism with Adaptive OffloadingCompression (ESAOC) is proposed.
18301 针对不同类型的业务属性和最大的容忍时延，结合光网络单元的负载变化和无线网状网的流量情况，通过统计的方式获得不同优先级卸载数据的平均到达率，再结合各个节点的压缩时延，动态调整业务的卸载压缩比，以降低卸载的通信开销； According to the different types of service attributes and the maximum tolerant delay, combined with the load changes of the optical network unit and the traffic of the wireless mesh network, the ratio of the offloading compression of service is dynamically adjusted to reduce the communication overhead of the offloading by the average arrival rate of the offloaded data of different priorities obtained by means of statistical methods and combined with the delay of compression of each node.
18302 同时，建立排队模型分析卸载业务在MEC服务器的排队时延，协同调度无线侧中继节点，进而对光网络单元和终端设备进行协同休眠调度，最大化休眠时长，提高系统能源效率。 At the same time, aqueuing model is established to analyze the delay of the offloading service in the MEC server and cooperativelyschedule the relay node in wireless mesh network, thereby performing the schedule of collaborative sleeping onthe optical network units and the terminal devices to maximize the duration of sleeping and improving theenergy efficiency of system.
18303 结果表明，所提方法在有效降低整个网络能耗的同时能够保证卸载业务的时延性能。 The results show that the proposed mechanism can effectively reduce the networkenergy consumption while ensuring the delay performance of offloading service.
18304 针对多编队机动目标先后出现时的跟踪问题，该文提出了一种基于交互式多模型高斯混合概率假设密度滤波(IMM-GM-PHD)算法的无先验信息跟踪方法。 Considering the problem of multi-group maneuvering target tracking, a fast tracking method basedon Interactive Multiple Maneuvering Gaussian Mixture Probability Hypothesis Density (IMM-GM-PHD)algorithm is proposed.