ID |
原文 |
译文 |
21205 |
在第2阶段,用户向基站传输信息。 |
The users transmit information to the base station in the second phase. |
21206 |
用户簇和用户簇之间采用时分多址接入,分时传输;同一簇内多个用户采用非正交多址接入,同时传输。 |
The users among different clusters transmit in the time division multiple access manner, while the users in the same cluster transmit in the non-orthogonal multiple access manner. |
21207 |
该文研究联合优化系统的各阶段的传输时间、基站的发射功率、用户的发射功率等资源,分别以优化网络频谱效率和用户簇之间的公平性为目的,提出最大化网络吞吐量和最大化用户簇的最小吞吐量的联合资源分配算法。 |
Joint phase time duration allocation and power allocation are investigated at the base station and the users in order to improve the spectrum efficiency and user fairness, respectively. Two algorithms are proposed, which maximize the system throughput and theminimum throughput of the clusters, respectively. |
21208 |
研究结果表明所提的两种算法分别能有效提高系统的频谱效率和保证用户簇之间的公平性。 |
Simulation results show that the two proposed algorithmscan effectively increase spectral efficiency and guarantee fairness of user clusters, respectively. |
21209 |
物联网逐渐成为学术界研究的热点领域,无处不在的传感器设备促进了传感器搜索服务的产生。 |
The Internet of Things (IoT) is becoming a hot research area, and tens of billions of devices are being connected to the Internet which are advancing on the sensor search service. |
21210 |
物联网中搜索的强时空性、海量数据的异构性与传感器节点的资源受限性,给物联网搜索引擎高效地查询传感器提出了挑战。 |
IoT features (searches are strong spatiotemporal variability, limited resources of the sensor, and mass heterogeneous dynamic data) raise a challenge to the search engines for efficiently and effectively searching and selecting the sensors. |
21211 |
该文提出基于传感器定量数值的线性分段拟合相似性(PLSS)搜索算法。 |
In this paper,Piecewise-Linear fitting Sensor Similarity (PLSS) search method is proposed. |
21212 |
PLSS算法通过分段和线性拟合的方法,构建传感器定量数值的相似性计算模型,从而计算传感器的相似度,根据相似度查找最相似的传感器集群。 |
Based on the content values,PLSS calculates the sensor similarity models to search most similarity sensors. |
21213 |
与模糊集(FUZZY)算法和最小二乘法相比,PLSS算法平均查询精度和查询效率较高。 |
PLSS improves the accuracy and efficiency of search compared with FUZZY set algorithm (FUZZY) and least squares method. |
21214 |
与原数据相比,PLSS算法的存储开销至少降低了两个数量级。 |
PLSS storagecosts are at least two order of magnitude less than raw data. |