ID 原文 译文
58428 通过采用网络图的代数连通度，并定义无线链路的连通度开销比这一新的拓扑度量，计算每条链路在拓扑优化中的权值. Each link’s weight in the topology optimization is calculated by employing the theory of algebraicconnectivity and introducing a new topology metric for each wireless link.
58429 所提的启发式算法可根据该链路权值进行无线链路的添加或删除. The proposed algorithms add ordelete a link according to its weight. We conceive some cost functions for different network scenarios.
58430 设计了若干网络开销函数，以满足不同的网络场景.仿真结果表明，所提的启发式算法能够生成低开销的网络拓扑，同时满足给定的连通度约束. Simulations show that our proposed algorithms could generate the low-cost topologies under the networkconnectivity constraint.
58431 基于软定义无线电( SDＲ) 和虚拟机( VM) 迁移技术的云无线接入网( C-ＲAN) 是第 5 代移动通信系统( 5G) 系统中的一种灵活架构，基于该架构提出了一种优化算法，可以根据系统状态动态计算基带处理单元( BBU) 的最佳负载范围，并考虑用切换效率来控制额外的资源消耗. Cloud radio access network ( C-ＲAN) based on software defined radio ( SDＲ) and virtual machine ( VM) migration is a flexible architecture in the fifth generation of mobile communications system( 5G) . Based on the system model，we propose an optimization algorithm to choose the best base band unit ( BBU) working load instead of configuring it as a constant value according to experience. The switching quality is also introduced to control the extra resource cost caused by the switching process.
58432 仿真结果表明，该算法能够自动选取合适的 BBU 工作负载范围，并在较低的切换损耗下维持 BBU 在该范围内工作. Simulation results show that the proposed algorithm can calculate the optimized working range for each BBU andkeep the BBUs working in optimized range with low switching costs.
58433 大规模天线下信号检测必须兼顾运算复杂度和性能，而传统算法难以满足要求，为此，结合循环冗余校验码，提出了一种基于期望传播的自适应大规模多输入多输出系统信号检测算法. Signal detection should take account of both computational complexity and performance inlarge-scale antenna array while traditional algorithms may not satisfy that requirement. Combined withcyclic redundancy check ( CＲC) ，an adaptive signal detection algorithm based on expectation propagationfor massive multiple input multiple output ( MIMO) systems was proposed.
58434 仿真结果表明，该算法能降低运算复杂度，并保持良好的性能. Simulation results showed thatthe proposed algorithm can keep good performance while reducing computational complexity.
58435 针对物联网系统复杂应用环境中由关键节点失效导致的系统拓扑结构的脆弱性问题，提出了一种抗毁性 k-连通拓扑结构的构建方法. To enhance the system topology vulnerability caused by the failure of critical nodes in the Internet of Things ( IoT) system based complex application environments，a construction method of the survivable k-connected topology is proposed.
58436 首先把系统分成若干个互不交叠的簇，然后对网络中存在的关键节点进行检测，并利用簇头节点的移动性构建以关键节点为中心的局部 k-连通拓扑结构，达到去除关键节点和提高网络抗毁性的目的. Firstly，all nodes of network system are classified into non-overlapping clusters. Then，the cut points existed in the network are detected，and the cut point centereda local k-connected topology is constructed by use of the motion of the cluster head nodes，so that thecritical nodes can be effectively removed to improve the network survivability.
58437 构建了簇间的 k-连通拓扑结构，给出了物联网智能安防系统应用仿真实验，并通过节点的介数中心性、网络的平均连通度和网络的鲁棒性验证了所提抗毁性方案的可行性和有效性. Finally，all the clusterhead nodes are selected to form the backbone network which also acts as the global inter-cluster k-connected topology. The proposed method is evaluated by the simulation in an IoT-based intelligent monitoring system. The results proves the feasibility and validity of the proposed method in terms of the betweeness centrality of nodes，the network average connectivity and the network robustness.