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首页> 外文会议>9th Annual Conference on Communication Networks and Services Research >Credit-Based Flow Control for Multihop Wireless Networks and Stochastic Petri Nets Analysis
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Credit-Based Flow Control for Multihop Wireless Networks and Stochastic Petri Nets Analysis

机译：基于信用的多跳无线网络流量控制和随机Petri网分析

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As the increase of data traffic is expected to grow faster than wireless capacity, dealing with congestion is unavoidable in the future. The capacity imbalance between wired and wireless links leaves a bottleneck on the wireless link while traffic keeps coming in through the bigger pipe. In current systems, the dynamics of a wireless channel and the variations in the higher priority real time traffic both make full link utilization impossible. Either the buffers are full, giving a full link but resulting in packet losses in the queues or the link is underutilized. Closed loop credit based flow control can solve this problem by avoiding any buffer overflow completely and providing enough packets in the buffers to ramp up immediately when the channel has remaining capacity. In this paper a model using generalized stochastic Petri nets (SPN) is introduced. By structural analysis the boundedness of memory is proven while a Markov state analysis of the SPN provides numeric performance results. The studied scenario includes two wireless relayed hops, a wired backhaul and traffic class separation.
机译：由于预计数据流量的增长将比无线容量的增长更快，因此在将来不可避免地要解决拥塞问题。有线和无线链路之间的容量失衡在无线链路上留下了瓶颈，而流量却不断通过更大的管道进入。在当前系统中，无线信道的动态性和较高优先级的实时业务量的变化都使得不可能完全利用链路。缓冲区已满，给出了完整的链接，但导致队列中的数据包丢失，或者该链接未得到充分利用。基于闭环信用的流量控制可以完全避免任何缓冲区溢出，并在缓冲区中提供足够的数据包以在通道具有剩余容量时立即增加容量，从而解决此问题。本文介绍了一种使用广义随机Petri网（SPN）的模型。通过结构分析证明了存储器的有界性，而对SPN的马尔可夫状态分析提供了数值性能结果。所研究的场景包括两个无线中继跃点，有线回程和流量类别分离。

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