ID 原文 译文
58318 分析了多小区远程接入单元( ＲAU) 个数、用户天线数、小区个数及发射功率等参数与系统下行链路能效( EE) 最优时的关系. In multi-cell massive distributed wireless communication system，the relationship between theoptimal downlink energy efficiency ( EE) and the number of remote access units ( ＲAUs) ，the number ofuser antennas，the number of cells and the transmitting power of multiple cells is studied.
58319 根据 ＲAU 与用户之间的距离，推导出系统吞吐量的解析式; First，according to the distance between ＲAU and user，the analytic formula of system throughput is derived.
58320 根据具有路径损耗、阴影衰落、多径衰落特征的复合信道与多个实际功耗参数间的关系，建立了系统下行链路 EE 的优化模型; Then，the downlink EE optimization model is established based on the relationship between the actual powerconsumption parameters and the composite channel，which includes path loss，shadow fading and multipath fading.
58321 推导出系统 EE 与小区 ＲAU 个数、用户天线数、小区个数及发射功率的变化关系，并用算法得到了系统 EE 最优的理论值. Finally，based on this，the relationship between the EE and some impact factors includingthe number of ＲAUs，the number of user antennas，the number of cells and the transmitting power isdeduced，meanwhile the corresponding algorithm is proposed to maximize the EE.
58322 理论分析和仿真结果验证了系统 EE 与影响其取值的多参数间关系的正确性，提出的系统 EE 优化算法具有迭代次数低的优点. Theoretical analysisand simulation results verify that the correctness of the relationship between system EE and multiple related parameters，and the proposed system EE optimization algorithm also has the advantage of low iterationtimes.
58323 : 能量检测算法应用于无线通信场景中时存在信噪比( SNＲ) 墙和噪声不确定性问题，对此，在认知无线电非同分布高斯信号背景下，提出了基于增强能量检测的协作感知算法. In wireless communication scenarios，energy detection has disadvantage in signal-to-noise ratio( SNＲ) wall and noise uncertainty. The article presents enhanced energy detection with cooperative spectrum sensing under non-identical Gaussian background noise in cognitive radio.
58324 在低 SNＲ 条件下，给出了采用增强能量检测算法的次用户检测概率和虚警概率，并推导出达到最小总错误率的最优协作用户数表达式. Furthermore，the probability of detection and the probability of false alarm have been derived for enhanced energy detection under low SNＲ condition in cooperative spectrum sensing，and the number of optimized collaboration usershas been deduced for the minimum total error rate.
58325 理论分析和仿真实验结果表明，相对其他克服噪声不确定性的能量检测算法，所提出的算法具有更优的检测性能 Theoretical analysis and numerical results show thatproposed schemes have better detection performance than other energy detection plans for solving noiseuncertainty problem.
58326 针对 GM( 1，1) 算法求解发展系数和灰色作用量时受背景值影响的问题，提出一种回避背景值的辨识参数求解方法，避开背景值试算选取的步骤或选取不当造成预测精度低的问题;针对 GM( 1，1) 模型预测时初始条件为固定值影响预测精度的问题，提出一种构建变权初始值的方法，避免预测精度受固定初始值的影响; During the process of calculation，the problem of GM( 1，1) algorithm that used to solve thedevelopment factor and the gray affections can be influenced by the background value. The identifyingparameters method of avoiding background value was proposed for calculation. The problem of low prediction accuracy caused by the background value of the selected steps or improper selection was solved. Theproblem of initial condition with fixed value can affect the prediction accuracy when using the GM( 1，1)model predicts.
58327 针对传统灰色神经网络样本类型单一的问题，提出一种新的组合预测模型结构，突破了传统模型只依靠单一浸润线历史数据预测的局限，建立了基于改进灰色神经网络的浸润线预测模型. The method of constructing the initial value with the variable weight was proposed. Theimpacts of the fixed initial value to the prediction accuracy was avoided. Aiming at the problem of singlesample type of traditional grey neural network，a new combination forecasting model was proposed. Totackle the limitation of the traditional model to predict saturation line only rely on the data of history singlesample type，and the prediction model of saturation line based on improving grey neural network is established.