ID 原文 译文
47186 多机构属性加密方案非常适用于云存储环境下的数据访问控制。 Multi-authority attribute-based encryption was very suitable for data access control in a cloud storage envi-ronment.
47187 然而，高效的用户撤销仍是其中一个具有挑战的问题，这妨碍了多机构属性加密的实际应用。 However, efficient user revocation in multi-authority attribute-based encryption remains a challenging problemthat prevents it from practical applications.
47188 针对此问题，在素数阶群中提出一种支持高效撤销的多机构密文策略属性加密方案，并在随机预言模型下证明了方案是静态性安全和支持撤销的。 A multi-authority ciphertext-policy attribute-based encryption scheme withefficient revocation was proposed in prime order bilinear groups, and was further proved statically secure and revocablein the random oracle model.
47189 分析结果表明所提方案极大地降低了用户的计算开销。 Extensive efficiency analysis results indicate that the proposed scheme significantly reducethe computation cost for the users.
47190 此外，所提方案支持大属性域和所有单调访问结构，因此，在实际应用中更加灵活。 In addition, the proposed scheme supports large universe and any monotone accessstructures, which makes it more flexible for practical applications.
47191 针对快时变信道下无线通信频谱利用率降低的问题，提出一种基于非数据辅助的误差矢量幅度的自适应调制（NDA-EVM-AM, nondata-aided error vector magnitude based adaptive modulation）算法， A novel nondata-aided error vector magnitude based adaptive modulation(NDA-EVM-AM) was proposed tosolve the problem of lower spectral efficiency over rapidly time-varying wireless channels. Namely, NDA-EVM wasconsidered as a metric to reflect the rapid change of time-varying channels.
47192 选取 NDA-EVM 作为反映快时变信道变化的特征参量并给出不同调制阶数的统一计算模型， The unified model to calculate different mod-ulation order of NDA-EVM was analytically derived, with which the relationship between NDA-EVM and bit error rate(BER) for each modulation order was presented.
47193 建立不同调制阶数 NDA-EVM 与误码率（BER）之间的关系并据此设计 MQAM（multilevel quadrature amplitude modulation）调制阶数的快速调整机制。 Thereafter, the mechanism to adaptively select the modulation orders ofmultilevel quadrature amplitude modulation (MQAM) signals was designed to guarantee the predefined BER.
47194 以高铁通信的快时变信道场景为例， Taking thetwo rapidly time-varying channels proposed for high-speed railway scenarios as examples.
47195 数值仿真表明，相比 DA-EVM（data-aided error vector magnitude）和信噪比估计，NDA-EVM 估计具有最小均方根误差； It shows that NDA-EVM estimation has the lest root meansquare error than data-aided error vector magnitude (DA-EVM) estimation and signal to noise ratio estimation.