ID 原文 译文
57998 仿真实验结果表明，在非理想信道状况下，所提出的策略有较高的系统吞吐量和能量效率，可优化无线网络的传输性能，提高可靠运行度. The simulation results show that the proposed strategy is of higher system throughput and energy efficiency under the non-ideal channel condition，which will optimize the transmission performanceand improve the reliability of the system.
57999 对于具有能量收集装置的基站，由于收集的能量具有随机性，为保证基站稳定运行，在智能电网作为基站能源补充的情况下，基于排队论和 Lyapunov 优化方法提出了基站非弹性能量需求和弹性能量需求 2 种情况下的动态能量管理算法. A dynamic energy management scheme of the energy harvesting base station powered by thesmart grid with time-varying price is proposed. Specially，it was assumed that the base stations( BSs)were equipped with energy harvesting device，and the free energy collected by this device from renewablesources were stored in battery for BSs to use in future. Due to the randomness of energy harvest，smartgrid was taken as a supplement of energy to ensure the stable operation of BSs. Based on queuing theoryand Lyapunov optimization method，a dynamic energy management algorithm was proposed for BSs undertwo conditions of inelastic energy demand and elastic energy demand.
58000 运用所提算法，基站可根据系统状态动态地选择在电价低时从智能电网适当购买能量存储在充电电池中，以备将来电价高且收集的能量不能满足需求时使用，从而减小基站的能耗成本. Based on the proposed algorithm，BSs can dynamically choose to purchase energy from smart grid at low price and store it in battery forusing at high price for reducing the energy cost of BSs.
58001 所提的动态能量管理算法复杂度低，不需要能量收集、基站能量需求、时变电价的先验统计信息. The proposed dynamic energy management algorithm has low complexity and does not need prior statistical information of energy collection，energy demand and time-varying price.
58002 理论分析结果表明，所提算法可使基站的能耗成本无限接近最优值，且保证弹性能量需求情况下的时延不超过可容忍的期限. The theoretical analysis showed that the proposed algorithm performed arbitrarily close to the optimal objective value，meanwhile，it ensured that the time delay did not exceed thetolerable time.
58003 仿真结果验证了所提算法的有效性和电池容量大小对算法性能的影响. Finally，simulation results showed the validity of the algorithm. And the effect of batterycapacity on the performance of the algorithm was analyzed.
58004 提出了一种基于缓存队列长度动态预测机制的请求重定向( BMP) 算法，采用 M /M /1 排队模型对分布式内容分发网络的负载均衡算法进行了描述，基于队列长度预测的机制减少了分发请求过程中不必要的重定向，同时可以克服单点过载问题. A requests redirection algorithm for load balance based on buffer queueing length dynamic prediction ( BMP) was presented. The M /M /1 model is used to describe the load balancing problem for content distribution networks. This method provides reduction of the unnecessary redirection with the queueing length prediction mechanism. And meanwhile，the overload of single point can be avoided.
58005 仿真分析结果显示，相比于之前的负载均衡控制策略算法，所提出的 BMP 算法对服务器缓存区队列长度的均衡效果更优; Evaluation shows that the proposed BMP algorithm achieved more balancing effect in server queue length compared to the so-called control law for load balancing algorithm.
58006 同时，由于减少了不必要的重定向，也降低了请求响应过程的时延成本. And the total cost of the request responsetime is obviously decreased due to the natively reduction of the unnecessary request redirection.
58007 针对宽频带定向性天线阵列存在不确定的相位中心、非均匀分布的远场相位以及有限的主波瓣宽度等问题，提出了一种定向性天线组成的均匀圆阵的扇区波达方向( DOA) 估计模型. Broadband directional antenna arrays have uncertain phase centers，non-uniformly distributedfar-field phases and limited main lobe widths. To settle these problems，a sectorial direction of arrival( DOA) estimation model of uniform circular array composed of directional antennas is proposed.