基于云计算的视频监控和资源整合优化系统

视频监控系统在日常生活中担当着越来越重要的作用,将云计算技术应用于视频监控系统中,以此构建了基于云计算的视频监控和资源整合优化系统;然后,改进了视频监控中的一个重要的算法—动态目标检测算法,以提高视频监控的准确性;最后,研究了如何对于云计算平台中的服务器资源进行整合优化,并对所实现的系统进行了测试,结果表明,该系统可以提高视频监控的准确性和服务器的响应时间.     

突防任务中组网雷达干扰资源分配研究

基于突防飞机的位置构建了干扰效果评估指标,综合考虑突防飞机在整个突防过程中的位置变化时的干扰效益,利用概率加权法确定最终的目标函数,采用蚁群算法求解出干扰分配决策。仿真结果表明,该文提出的干扰效果评估指标可以很好地解决干扰资源分配问题,对实际作战指挥有一定的指导意义。     

混合蛙跳在网络编码协作系统资源分配中的应用

网络编码协作中继技术能合理分配IMT-Advanced的资源,从而提高系统性能,受到了广大学者的关注。针对基于网络编码的双向多中继协作系统,提出基于混合蛙跳的资源分配方案。以最小化系统传输功率为优化目标,在满足用户QoS下,推导每个节点的最优化功率,建立最优化资源分配模型,利用混合蛙跳算法解决系统资源分配问题。仿真结果表明,在满足单节点QoS下,所提出的基于混合蛙跳的资源分配方案能有效减小系统的总功率,提高了系统性能。     

基于白频谱的地面数字电视专用上行网络可行性研究

未来广播电视的趋势之一在于为电视用户提供交互性服务,而实现地面数字电视交互服务需要占用新的频谱资源建立专用上行网络。面对日益激烈的频谱之争,利用下行广播网络所存在的白频谱设计地面数字电视上行系统,可以实现广播电视频谱更充分的利用和更好的管理。本文提出了一种可行的广播上行网络架构,并通过计算链路衰落情况,分析广播频段中蕴含的白频谱资源分布情况。然后结合UGC着色算法,对上行系统小区频谱进行规划,并根据划分的结果分析上行网络对下行广播的同频干扰情况和上行同频小区之间的干扰和可以达到的网络容量。最后,本文以上海地区的实际白频谱分布情况为例,验证上基于白频谱的地面数字电视专用上行网络的方案可行性,为地面数字电视上行网络的设计和数字电视白频谱的使用提供参考。     

一种通信距离最小化的虚拟机分配算法

为了解决云资源分配过程中虚拟机通信距离较大,造成用户计算任务完成时间延长问题,提出一种最短通信距离的虚拟机分配算法.云资源管理器能够根据用户指定的虚拟机条件,将计算任务分割到合适的数据中心及其内部服务器,大大缩短了虚拟机之间的通信距离.仿真实验表明,与现有的贪婪算法和随机方法相比,提出的方法通信量更少,执行速度更快.     

Resource Allocation Algorithm Based on PSO-GA for Multi-User OFDM System

In order to minimize the transmitted power in the multi-user orthogonal frequency division multiplexing (OFDM) system, a scheme combining the improved particle swarm optimization (POS) algorithm with genetic algorithm (GA) is proposed to optimize the sub-carriers and bits allocation. In the algorithm, a random velocity between the maximum and minimum particle velocity is used as the updating velocity instead of maximum or minimum velocity when the updated particle velocity is higher than the maximum particle velocity or lower than the minimum particle velocity. Then, the convergence population is used as the initial population of the genetic algorithm to optimize the sub-carriers and bits allocation further. Simulation results show that the transmitted power of the proposed algorithm is about 2 dB to 10 dB lower than that of the genetic algorithm, particle swarm optimization algorithm, and Zhang's algorithm.     

医联体中协同医疗任务分配问题

针对区域医疗联合体中协同医疗任务分配问题,将诊疗效果、医疗费用、医院环境和服务态度确定为衡量患者满意度的定性指标,并借助模糊数学中的隶属度理论将定性指标定量化。以患者满意度为目标函数,并在符合临床路径标准的时间、成本、质量约束下建立0-1整数规划模型。模型求解时,采用遗传算法求解,并设计了能直观反映研究问题的矩阵形式染色体编码,最后仿真数据验证了上述模型和算法的有效性。     

Optimal resource allocation for energy efficiency in coordinated multicell OFDMA networks

Because energy efficiency (EE) is inevitable in future wireless cellular networks, in this paper, we focus on improving the number of bits delivered to users for each unit energy consumption in the downlink of orthogonal frequency‐division multiple access cellular networks with base stations (BSs) coordination. Specifically, each BS shares the channel qualities of users with others and jointly choose the set of co‐channel users and the transmit power allocated to maximize the EE of the system subject to the transmit power ceiling of each BS and minimum required data rate. We formulate the problem as a nonlinear fractional optimization problem, using nonlinear fractional programming, the original hard‐to‐solve problem is transferred to a new one that has the same optimal solution and is easier to solve, this enables two iterative algorithms that achieve nearly the same maximum EE. Numerical results are provided to show the convergence and superiority of the two proposed. Copyright © 2014 John Wiley & Sons, Ltd.     

Amplify‐and‐forward‐based cooperative jamming strategy with power allocation for secure communication

This paper deals with the use of jamming transmission for secure amplify‐and‐forward‐based relay networks with total power constraints. An approach that the source and the relay use some of their available power to transmit jamming signals in order to create interference at the eavesdropper is investigated. Assume that the relay and destination have an a priori knowledge of the jamming signals. A power allocation policy that defines how the available power is distributed between the message signal and that of the jamming signal is presented. The results show that the proposed approach can increase the secrecy level and that a positive secrecy rate can be achieved even when the eavesdropper may be near the source. Copyright © 2014 John Wiley & Sons, Ltd.     

Frequency resource allocation strategy with QoS support in hybrid cellular and Device‐to‐Device networks

Hybrid networks, comprising a conventional cellular network overlaid with Device‐to‐Device (D2D), offer efficient way to improve system throughput. In this paper, a novel orthogonal frequency‐division multiple access channel‐assignment method is proposed for hybrid network. The proposed approach is optimal in terms of throughput and is subjected to a sensible QoS requirement, which guarantees that macrocell and D2D achieve a prescribed data rate and outage probability, respectively. Our solution consists of two phases. In the first phase, the minimum sub‐channels are allocated to the macrocell to satisfy their data rate requirements. This problem is mapped to the 0‐1 Knapsack Problem and solved by integer programming based Lagrange dual approach. In the second phase, the redundant sub‐channels are allocated to D2D pairs to maximize the throughput of D2D networks. An interference management scheme is proposed to guarantee the outage probability of D2D communications. A cluster is taken as the unit for frequency reuse among D2D pairs. The problem of clustering is mapped to the MAX k‐CUT problem in graph theory and is solved by graph‐based heuristic algorithm. Extensive simulations demonstrate the superior performance of the proposed solution compared with the existing scheme. Copyright © 2014 John Wiley & Sons, Ltd.