Packet loss probability for real-time wireless communications
Packet loss probability for real-time wireless communications
复制标题
实时无线通信的丢包概率
DOI：
10.1109/tvt.2002.804843
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
S. Chanson
中科院分区：
文献类型：
--
作者：
Kelvin K. Lee;S. Chanson
建立了一种新的马尔可夫模型来计算实时无线分组的丢包概率和时延分布。这些数据包通过一个由两态马尔可夫链建模的错误通道传输。如果数据包传输不成功，则重新传输该数据包，直到超过延迟限制。此时，丢弃该报文，开始传输下一个报文。这种丢包过程对丢包概率有显著影响，但在其他马尔可夫模型中很少考虑。得到了闭式解，并推导出误差高度相关、误差概率小的简化表达式。在这些条件下，发现丢包概率受时延限制和信道保持在故障状态的转移概率的影响很大。另一方面，如果到达率不接近于1，则概率几乎与到达率无关。
A novel Markov model is constructed to calculate the packet loss probability and the delay distribution of real-time wireless packets. These packets are transmitted through an erroneous channel modeled by a two-state Markov chain. If a packet transmission is not successful, the packet is retransmitted until a delay limit is exceeded. At that time, the packet is discarded and the transmission of the next packet begins. This packet-dropping process has a significant impact on packet loss probability but is seldom considered in other Markov models. Closed-form solutions are obtained, and simplified expressions assuming highly correlated errors and small error probability are derived. Under these conditions, it is found that the packet loss probability is significantly affected by the delay limit and the transition probability of the channel's remaining in the failure state. On the other hand, the probability is almost independent of the arrival rate provided the rate is not close to one.