ID 原文 译文
53397 提出了一种基于改进群搜索优化的认知无线电协作频谱感知方法。 This paper proposes a method for cognitive radio (CR) spectrum sensing based on improved group search optimizer (GSO).
53398 用改进的群搜索优化算法求解线性协作感知模型中的权重向量，并将本文方法与基于单节点感知、选择合并、等增益合并和 MDC 的频谱感知方法进行了比较， The improved GSO is used to get the weight vector in linear cooperation model. And it is compared with the four methods of Single CR method, Selection combining method (SC), Equal gain combining method (EGC) and Modified deflection coefficient method (MDC).
53399 仿真结果表明基于改进群搜索优化算法的协作频谱感知较传统的群搜索优化算法具有更好的收敛性，可获得更高的检测概率， Simulation results show that the improved GSO is better in convergence than traditional group search optimizer. It can obtain better detection probability than the four methods.
53400 且检测性能随感知用户数的增加而提高、随噪声环境的恶化而降低。 The detection performance becomes higher with the increase of CR users and becomes lower under the worse of noise condition.
53401 在主用户数据流量的指数分布模型基础上，考虑认知用户和主用户之间必然存在的数据冲突的影响， Due to the on/off freedom of the primary users and the “transmit after listen” rule of the second users, there exist inevitable data collisions between them.
53402 基于认知网络有效数据吞吐量的最大化准则，建立了认知网络帧结构参数中感知周期与检测时间的联合优化模型。 The trade-off between the cognitive radios network achievable throughput and the cognitive network frame structure is modeled as a joint optimization of sensing period and detection time.
53403 鉴于理论证明的困境，通过基于 Armijo 非精确线搜索的最速下降算法求得了优化模型的全局最优解， Considering the theoretical difficulty of the proof, the steepest descent method algorithm based on Armijo line search rule is applied to solve the optimization problem.
53404 结果验证了优化模型的有效性，实现了认知网络的数据吞吐量与帧结构的折衷优化。 The solutions prove that there exists a unique global optimal solution of our optimization model. Consequently, the optimization model is valid.
53405 搜索算法的结果与同时给出的理论数值仿真是一致的。 The numerical solutions of the optimization problem are also provided and show the consistency to the search algorithm.
53406 为了减小宏用户和家庭基站之间的干扰，有效分配频谱，本文提出了基于图论着色的分簇信道分配算法。 In order to mitigate the interference between macrocell users and femtocells and allocate the spectrum efficiently, a graph coloring based clustering algorithm for channel allocation is proposed in this paper.