Skip to content
This repository was archived by the owner on Feb 20, 2024. It is now read-only.

Conversation

@kunterbunt
Copy link

Besides some bug fixes and additional statistic collection, this branch implements a new channel model: the abstract two-state Gilbert-Elliot Hidden Markov Model.

Configuration and usage is simple using

**.lteNic.LteChannelModelType = "LteGilbertElliotChannelModel"
**.lteNic.channelModel.trans_prob_bad_state = 0.5 # p21
**.lteNic.channelModel.trans_prob_good_state = 0.25 # p12
**.lteNic.channelModel.error_prob_bad_state = 1.0
**.lteNic.channelModel.error_prob_good_state = 0.1

where transition probabilities from a good to a bad state can be specified and vice-versa, as well as their error probabilities.
The discrete-time model is evaluated everytime the error function is used: a random number determines if the channel state changes, and the current state's error probability determines whether the current packet is lost or not.

Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant