ID 原文 译文
45046 实验与仿真结果显示，在此方案场景下，能有效缓解网络拥塞情况，充分利用网络带宽，减少数据端到端时延，降低分组丢失率。 It can effectively alleviate the network congestion, make full use of network bandwidth, reduce end-to-end delay and packet loss rate.
45047 基于离线调度方式和节点模块化设计思想，提出一种时延约束节能动态波长带宽分配算法。 Based on offline scheduling and node modular design, an energy-efficient dynamic wavelength and bandwidth allocation algorithm with the delay constraint (EE-DWBA-DC) was proposed.
45048 该算法考虑OLT 和 ONU 两端协同节能， Optical line terminal (OLT) and optical network units (ONU) were considered to save energy.
45049 在保证分组时延约束条件下，尽可能减少激活波长数和延长轮询周期长度。 Under the constraint of packet delay, the number of active wave-lengths could be reduced as much as possible and the length of polling cycle was increased.
45050 同时，尽量集中 OLT 和 ONU 端上/下行传输时间，减少其状态转换次数，延长其处于低功耗状态时间， At the same time, the uplink and downlink transmission time of OLT and ONU were concentrated to reduce the state conversion times and extend it slow-power duration.
45051 并避免信道出现高能耗空隙。 In addition, the high energy consumption voids of channels were attempted to be minimized.
45052 仿真结果表明所提算法在保证分组时延约束的前提下，有利于降低 OLT 端和 ONU 端能耗以及全网总能耗。 The simulation results verify that the proposed algorithm can reduce the energy consumption of OLT and ONU and the total energy consumption of the whole network under the premise of guaranteeing packet delay constraints.
45053 针对现有虚拟化云无线接入网络资源利用率低、能耗高、用户服务质量无法得到保证等问题，提出一种带有混合能量供电的能耗感知虚拟化资源分配机制。 Aiming at the problems of low resource utilization rate, high energy consumption and poor user service quality in the existing virtualized Cloud Radio Access Network, an energy-aware virtualized resource allocation mechanism with hybrid energy supply was proposed.
45054 根据不同网络设备的能量来源和能量消耗情况，建立能量到达模型和能量消耗模型； According to the energy sources and energy consumption of different network devices, energy arrival and energy consumption models were established.
45055 进而，在保障用户服务质量的前提下，考虑比例公平和能耗优化，利用异步更新的分布式算法对不同类型虚拟云无线接入网和用户虚拟基站分配资源和能量，从而有效提高网络能量效率。 Furthermore, under the premise of guaranteeing the quality of user services, considering proportional fairness and energy consumption optimization, distributed algorithms based on asynchronous update were used to allocate resources and harvested energy for different types of virtual cloud radio access networks and user virtual base stations to effectively improve the energy efficiency of network.