On Thu, Sep 30, 2010 at 3:49 PM, Daniel Ali <[email protected]> wrote: > Hello all, > > We're interested in using USRP2s and GNURadio for a wireless link, and > adding a cognitive engine to it to improve link performance (PHY only). > > > > Currently, we are using benchmark_rx.py and benchmark_tx.py (from digital > folder). Each USRP is connected to a seperate laptop via Ethernet. > > > > We can change knobs (eg: transmit power) at the transmit side (Node1) now > during transmission. We are working on getting meter values (metrics such as > SNR, BER, RSSI, etc.) from the receiver (Node2) and then passing them back > to Node1. > > We've noticed that there is digital-ber rx scripts, can this be used with > the digital/benchmark_tx.py in order to transfer a file? We did not see > support for a specified file in the digital-bert/benchmark_tx.py script. > > > > What kind of set-up have people used for Cognitive radio feedback? If anyone > has done this before and has suggestions, please let us know! Thanks in > advance. > > -- > Daniel Ali > Graduate Student > Electrical and Computer Engineering > Virginia Tech
Daniel, Since you're at VT, I'm assuming you're familiar with my dissertation and/or book (warning, plug coming) Artificial Intelligence in Wireless Communications? It deals with using GNU Radio as a platform for cognitive radio. I didn't deal with feedback; I was interested in having each radio sense its own meters and make decisions off those. So it doesn't address your specific issues, but might be helpful, anyway. Tom > > _______________________________________________ > Discuss-gnuradio mailing list > [email protected] > http://lists.gnu.org/mailman/listinfo/discuss-gnuradio > > _______________________________________________ Discuss-gnuradio mailing list [email protected] http://lists.gnu.org/mailman/listinfo/discuss-gnuradio
