研究了基于队列稳定性模型的认知多天线系统功率控制优化问题，并对系统性能进行了分析。
For cognitive MIMO system based on the queuing stability model, the power control optimization problem and the system performance of spectrum access is analyzed.
队列模型可以帮助确保SOA的稳定性和生产可用性。
Queuing models can help ensure that the SOA is robust and production ready.
使用专用储存库队列管理器减少了这些交互带来的不稳定性。
The use of dedicated repository queue managers reduces the volatility attributable to these interactions.
同时，利用经典控制理论方法分析了系统稳定性和存在链路容量干扰时瓶颈队列的暂态、稳态特性。
A classical control method is also introduced to analyze the stability of the system and the transients as well as steady-state behaviors of bottleneck queue with link capacity disturbances.
同时，利用经典控制理论方法分析了系统稳定性和存在链路容量干扰时瓶颈队列的暂态、稳态特性。
A classical control method is also introduced to analyze the stability of the system and the transients as well as steady-state behaviors of bottleneck queue with link capacity disturbances.
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