On Thu, May 26, 2011 at 5:59 PM, Luis R. Rodriguez <mcgrof@xxxxxxxxx> wrote: > ÂWhat I'd like to do is to affect the ratio to nullify it if the noise > Âis very low on the channel. Given that noise is logarithmic we'd have > Âto use a logarithmic function as well. Working on that now. OK I've figured a way to plug the noise into this, I designed the following function we can use as a factor: 1.1^(x+110) Wolfram|Alpha boring details of this function: http://bit.ly/mJNXE9 x,y results of different noise values in dBm, using apcalc: mcgrof@tux ~ $ calc C-style arbitrary precision calculator (version 2.12.3.3) Calc is open software. For license details type: help copyright [Type "exit" to exit, or "help" for help.] ; define f(x) = 1.1^(x+110) f(x) defined ; f(-130) ~0.14864362802414368640 ; f(-120) ~0.38554328942953174736 ; f(-119) ~0.42409761837248492210 ; f(-118) ~0.46650738020973341431 ; f(-117) ~0.51315811823070675574 ; f(-116) ~0.56447393005377743132 ; f(-115) ~0.62092132305915517445 ; f(-114) ~0.68301345536507069189 ; f(-113) ~0.75131480090157776108 ; f(-112) ~0.82644628099173553719 ; f(-111) ~0.90909090909090909091 ; f(-110) 1 ; f(-109) 1.1 ; f(-108) 1.21 ; f(-107) 1.331 So then, we'd use a frequency for initiating beaconing (AP, Mesh, P2P) which uses the lowest value from the following computation: (busy time - tx time) / (active time - tx time) * 1.1^(noise + 110) The 1.1 factor can be modified more accurately to represent the exponential factor of how noise should affect interference decisions, the 110 value here can be modified for any other arbitrary value we find as representative of a regular noise value from a simple AP on the frequency we are observing, my assumption here was -110 dBm. If I don't hear yells I'll implement this algorithm, but first I want to add APIs to let us query for survey data for specific frequencies, the current stuff assumes the dump data will be useful within the time period we get it, but the way I'm thinking of doing it is to do each frequency analysis atomically -- change channel / do offchannel operation on a frequency, and then get the survey data for that frequency and compute the above. Then choose the frequency with the lowest value. This would allow us to do work without regards to any possible stale data. We could also later add a history of these values and compute an average and keep picking the best one. Anyway, that's that. Let me know what you think. Luis -- To unsubscribe from this list: send the line "unsubscribe linux-wireless" in the body of a message to majordomo@xxxxxxxxxxxxxxx More majordomo info at http://vger.kernel.org/majordomo-info.html
