ID 原文 译文
18975 其次，根据任务最大价值及其变化斜率，建立关于实际执行时刻的动态任务价值函数，并基于此构建任务调度的价值优化模型，对跟踪任务执行时刻进行分配，以更好满足及时性原则。 Then, a dynamic task value function about the actual execution time is established according to the peak value and value changing slope of tasks. A value optimization model for tracking task scheduling is constructed based on the task value function. Timeliness can be better achieved while adopting this model to assign execution time for tasks.
18976 最后，利用执行跟踪任务间的空闲时间片对搜索任务进行调度。 Finally, searching tasks are scheduled using the idle time intervals between tracking tasks which are going to be executed.
18977 仿真结果表明，该文算法有效减小了时间偏移量，提升了实现价值率。 Simulation results show that proposed algorithm reduces the average time shift ratio, and improves the value achieving ratio compared with the traditional scheduling algorithms.
18978 正交频分复用(OFDM)系统中，由于频率发生选择性衰落会导致信道在数据传输中产生符号间干扰，因此接收机往往需要知道信道状态信息。 In the Orthogonal Frequency Division Multiplexing (OFDM) system, the receiver often needs to know the channel state information, because the frequency selective fading channel will generate inter-symbol interference in the data transmission.
18979 而在海上通信的情况下，信道传输会受到多种外界因素的干扰，往往需要预先进行信道探测估计。 In the case of maritime communication, the method of channel estimationis often needed to detect the channel subjected to the interference of various external factors.
18980 为了提高估计性能，该文提出一种基于奇异值分解优化观测矩阵的快速贝叶斯匹配追踪稀疏信道估计优化算法(FBMPO)，该算法不仅能够充分考虑海上通信的信道稀疏性，也能够降低信道的不确定性带来的影响。 In order to improve the estimation performance, the Fast Bayesian Matching Pursuit based on singular-value-decomposition for Optimizing observation matrix (FBMPO) is proposed, which fully considers not only the sparse channel of maritime communication, but also reduces the influence of uncertainty of the unpredictable channel.
18981 计算机仿真实验表明，与传统的信道估计算法相比，该算法能够提高信道估计的精确度。 Computer simulation shows, compared with traditional channel estimation algorithms, the proposed algorithm can effectively improve the accuracy of channel estimation.
18982 在支持车与车直接通信(V2V)的非正交多址接入(NOMA)蜂窝网络场景下，针对V2V用户与蜂窝用户的干扰以及NOMA准则下的功率分配问题，该文提出一种基于能效的动态资源分配算法。 In the Non-Orthogonal Multiple Access (NOMA) based cellular network with Vehicle-to-Vehicle(V2V) communication, to mitigate the co-channel interference between V2V users and cellular users as well as the power allocation problem based on the NOMA principle, an energy efficiency dynamic resource allocation algorithm is proposed.
18983 该算法首先为了保证V2V用户的时延及可靠性同时满足蜂窝用户的速率需求，联合考虑子信道调度、功率分配和拥塞控制，建立了最大化系统能效的随机优化模型。 Firstly, a stochastic optimization model is established to maximize the energy efficiency by considering subchannel scheduling, power allocation and congestion control, in order to guarantee the delay and reliability of V2V users while satisfying the rate of cellular users.
18984 其次，利用李雅普诺夫随机优化方法，通过控制可接入数据量保证队列稳定性以避免网络拥塞，并根据实时网络负载状态动态地进行资源调度，设计一种次优化子信道匹配算法获得用户调度方案， Then, leveraging on the Lyapunovstochastic optimization method, the traffic queues can be stabilized by admitting as much traffic data aspossible to avoid network congestion, and the radio resource can be allocated dynamically according to the real-time network traffic and thus a suboptimal subchannel matching algorithm is designed to obtain the userscheduling scheme.