具有频道负荷约束的频道分配算法

在无线电网络中,邻近的地理区域内用同一个频道的用户过多就会引起无线电通信的拥塞.增加频道负荷约束,限制统一时间内用相同频道的用户数量来控制这一现象.给出了具有频道负荷约束的专用移动无线电网络问题的整数线性规划,设计了求解特殊网络的具有频道负荷约束的频道分配问题的多项式时间算法.     

无线通讯网络功率和流量的预联合控制

To mitigate the loop delay in distributed wireless networks, a predictive power and rate control scheme is proposed for the system model that also accounts for the congestion levels and input delay instead of state-delayed in a network. A measurement feedback control problem with input delay is formulated by minimizing the energy of the difference between the actual and the desired signal-to-interference-plus-noise ratio (SNR) levels, as well as the energy of the control sequence. To solve this problem, we present two Riccati equations for the control and the estimation for the time delay systems. A complete analytical optimal controller is obtained by using the separation principle and solving two Riccati equations, where one is backward equation for stochastic linear quadratic regulation and the other is the standard filtering Riccati equation. Simulation results illustrate the performance of the proposed power and the rate control scheme.     

带马尔科夫跳和乘积噪声的随机系统的最优控制

讨论了N个选手随机系统的最优控制问题. 设计了无限时间的带有马尔科夫跳和乘积噪声的随机系统的Pareto最优控制器. 应用推广的Lyapunov方法和解随机Riccati代数方程得到了系统的Pareto最优解, 证明了最优控制器是稳定的反馈控制器, 以及对应于最优控制器的反馈增益中的随机Riccati代数方程的解是最小解.     

无线通讯网络功率和流量的预联合控制

To mitigate the loop delay in distributed wireless networks,a predictive power and rate control scheme is pro- posed for the system model that also accounts for the conges- tion levels and input delay instead of state-delayed in a network. A measurement feedback control problem with input delay is formulated by minimizing the energy of the difference between the actual and the desired signal-to-interference-plus-noise ratio (SNR)levels,as well as the energy of the control sequence.To solve this problem,we present two Riccati equations for the con- trol and the estimation for the time delay systems.A complete analytical optimal controller is obtained by using the separation principle and solving two Riccati equations,where one is back- ward equation for stochastic linear quadratic regulation and the other is the standard filtering Riccati equation.Simulation re- sults illustrate the performance of the proposed power and the rate control scheme.