ID 原文 译文
20205 首先，利用行人航迹推算(PDR)和最近邻算法(NNA)对运动序列进行位置标定和接收信号强度(RSS)映射； Firsly, Pedestrian Dead Reckoning(PDR) and Nearest Neighbor Algorithm(NNA) are applied to performing position calibration and Received Signal Strength(RSS) mapping ofMotion Sequences.
20206 然后，根据邻近位置的相关性，采用序列递归搜索算法构建指纹序列数据库； Secondly, according to the relevance of neighboring locations, a sequence recursive search method is used to construct fingerprint sequence database.
20207 最后，通过自适应渐消记忆算法，并结合初始序列匹配度实现位置估计。 Finally, an adaptive fading memory algorithm andinitial sequence matching degree are considered to realize the position estimation of target.
20208 实验结果表明，该算法在室内环境下能够获得较低的建库时间开销以及较高的定位精度。 The experimental results show that this algorithm is able to consume low construct time overhead and achieve high indoor localization precision.
20209 针对全双工无线接入与回传一体化小基站场景下长期的频谱效率和能效同时最大化问题，该文提出一种基于近似动态规划理论的接入与回传一体化小基站接入控制与资源分配联合优化算法。 To maximize the long-term spectral efficiency and energy efficiency of a full duplex wireless accessand backhaul integrated small base station scene, approximate dynamic programming based joint admissioncontrol and resource allocation optimization algorithm is proposed.
20210 该算法首先联合考虑当前基站的资源使用和功率配置情况，在任一用户需求动态到达以及平均时延、小基站回传速率和传输功率约束下，使用受限马尔科夫决策过程(CMDP)建立频谱效率最大化和功率消耗最小化的多目标优化模型， The algorithm firstly considers the resourceusage and power configuration of the current base station, the dynamic demand of user, the constraints ofaverage delay as well as backhaul rate and transmission power. The corresponding multi-objective optimizationmodel of maximum spectrum efficiency and minimizes power consumption is established by using theConstrained Markov Decision Process(CMDP).
20211 其次运用切比雪夫理论将多目标优化问题转化为单目标问题，并使用拉格朗日对偶分解法进一步转化为非受限的马尔科夫决策过程(MDP)问题。 Then, the Chebyshev theory is used to transform the multi-objective into a single-objective optimization, and the Lagrange dual decomposition method is then used toconvert the single-objective problem into unrestricted Markov decision process problem.
20212 最后，为了解决其求解时存在的“维度灾”爆炸问题，该文提出基于近似动态规划的无线接入与回传一体化小基站资源动态分配算法进行求解，得到此时的接入与资源分配策略。 Finally, To solve the“dimension disaster” explosion that generated when solving this unrestricted Markov Decision Process(MDP)problem, a dynamic resource allocation algorithms based on approximate dynamic programming is presented,and the access and resource allocation strategy is obtained during this process.
20213 仿真结果表明，所提算法能在保证平均时延约束、小基站回传速率约束和传输功率约束的同时最大化长期平均频谱效率和能效。 The simulation results show thatthe algorithm can maximize the long-term average spectrum efficiency and energy efficiency, within theconstraints of the average delay, backhaul rate and transmission power, under the scenario of integrated accessand backhaul small base station.
20214 针对感知任务参与者数量不足和提供数据质量不高的问题，该文提出一种面向任务代价差异的移动群智感知激励模型。 To solve the problem of insufficient number of participants and poor data quality in the sensingmission, a mobile crowd sensing incentive model for mission cost difference is proposed.