Abstract：The impact of the network dynamics on network performance was analyzed to develop a distributed network noise(DNN) concept to efficiently suppress the effects of the network dynamics and increase the spectrum utilization. The analysis analyzes the mechanism of how information distortion influences the network performance. An analytical signaling blocking model is developed based on the DNN to indicate the influence of information distortion. The results show that the information distortion as well as the blocking probability increase with increasing origin arrival rate. The estimates derived from the analytical model agree well with experimental results.
刘海蛟, 华楠, 李艳和, 郑小平. 面向动态业务的光网络信息失真机理及其影响分析[J]. 清华大学学报（自然科学版）, 2015, 55(11): 1235-1240.
LIU Haijiao, HUA Nan, LI Yanhe, ZHENG Xiaoping. Mechanism of information distortion and its impact on optical networks for dynamic traffics. Journal of Tsinghua University(Science and Technology), 2015, 55(11): 1235-1240.
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