ID	原文	译文
5404	通过联合设计宏基站、微基站的下行信息波束矩阵及人工噪声矩阵，使网络中其他用户信号及人工噪声能够干扰窃听者。	In this network, to guarantee the security and reliability of infor-mation and energy transmission, an artificial noise (AN)-aided robust secure information and power transmission schemewas proposed.
5405	同时提升系统能量的接收性能。考虑CSI 随机误差，在基站的发送功率约束、合法用户的信息接收中断约束及窃听者的信息窃听中断约束下，以最大化系统能量接收性能为目标进行数学建模。	By jointly designing the downlink information beamforming and AN matrix of macrocell base station andfemtocell base stations, the eavesdroppers were jammed and the energy receiving performance of system was improvedsimultaneously. The problem of maximizing the energy receiving performance was modeled under the constraints on the base station power, the outage probability of information transfer and confidential information eavesdropped.
5406	建模后的问题是非凸的，首先将其等效转化为一种易于处理的形式；	Due to the probabilistic and rank-one constraints, this problem was non-convex. To obtain the solution, the original problem was first transformed into an equivalent form, which was easy to process.
5407	然后，分别利用 Berstein-type 不等式和Large-deviation不等式这 2 种方式将其中的中断概率约束转化为凸的线性矩阵不等式；	Then, the Bernstein-type inequality and theLarge-deviation inequality was utilized to transform the outage probability limits into convex linear matrix inequalities,respectively.
5408	最后结合二次等式引理及递归估计算法处理秩为 1 波束成形约束的非凸性。仿真结果表明，与对比方案相比，所提方案具有更高的系统能量接收性能和可行解性能，验证了其有效性和顽健性。	Finally, the rank-one beamforming constraints were processed with quadratic equality constraint procedure.Simulation results show that the proposed scheme has higher energy receiving performance and feasible performance incomparison with compared schemes, which validates the effectiveness and the robustness of our proposed scheme.
5409	D-S 证据理论不能很好地解决证据之间高冲突的情况，得到的结果与事实相悖，并且在实际的应用中无法解决“一票否决”的问题。	The situation of high conflict between evidences and one ballot veto cannot be solved by classical D-S rule,and the results obtained from classical D-S rule are contrary to the facts.
5410	针对上述不足，提出了一种基于 Pignistic 概率函数和相关系数的新证据冲突衡量标准（Pcor）和基于该标准的加权证据组合方法。	To solve this problem, a new standard to meas-ure conflicts between evidences was proposed based on the combination of Pignistic function transformation and correla-tion coefficient, and also a novel kind of weighted combination method which was applied to measure conflicts betweenevidences was put forward according to the standard.
5411	该方法用 Pcor 来衡量证据间的冲突，通过建立支持矩阵来确定各证据的支持度，用加权平均法修正证据，使用 Dempster 组合规则，最终得出与事实相符的结果。	After that, a support matrix was constructed based from which the credibility of evidence was obtained, and the weighted average method was used to revise the evidence. Finally, the com-bination was accomplished by using Dempster's rule.
5412	数值算例表明，所提方法有效地解决了高冲突证据组合问题，与相关算法相比，具有更好的收敛性。	The result of numerical examples shows that it's effective to solvethe combination of conflicting evidence. Compared with other methods, the proposed method has good astringency.
5413	随着数据流量的爆发式增长，用户体验质量急剧恶化，	The quality of user experience suffers from performance deterioration dramatically due to the explosivelygrowing data traffic.