| 摘要 |
Packet signal-to-noise ratio (SNR) values and historical delivery ratio information are combined to predict a delivery ratio for a communication link. Since packet SNR may be available with every received packet on the link, link SNR level is both accurate and easy to obtain. In one embodiment, a link quality classification algorithm uses delivery ratio and SNR history, based on local classification methods (such as k-Nearest-Neighbor, Kernel-based method) and global classification methods (e.g. Support vector machines) to classify links as either good or bad. In further embodiments, links may be classified at multiple different levels to indicate predicted link quality.
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