Re: [Discuss-gnuradio] Embedded GR-IEEE802-11

[Thomas Wilkinson]

Thanks for the reply, Marcus. That you are the only one to reply, is also telling. Some more context may help. The GR-IEEE802-11 transceiver appears to be the best jumping off point for a radio system that takes advantage of the robust wifi/OFDM waveform. As a radio, this would be implemented without a laptop or PC in an enclosed system, which is essentially why I ask about embedded implementations of GR-IEEE802-11. 

More specifically, by embedded I mean size, weight, power and thermal management are limiting factors in design.While an x86 single board computer is not out of the question, it does challenge size and thermal management design criteria.

Another way about this question of an embedded implementation is how much or how little does GR-IEEE802-11 rely on the FPGA?  My understanding is that GR-IEEE802-11 has pushed time-sensitive functions like CSMA to the FPGA, while most other functions are processed by the CPU. I assume that pushing more onto the FPGA would reduce CPU performance requirements, making GR-IEEE802-11 "more embeddable". Is this a viable path? Is there room on the B210 or B200mini--as examples--to push more onto the FPGA? Why not "embed" more onto the FPGA?

On Fri, Apr 14, 2017 at 1:19 PM, Marcus Müller <address@hidden> wrote:

Hi Tom,

define "embedded". If you use an x86 or powerful multi-core ARM Single-Board-Computer, which I'd argue can be an embedded device, then sure, I don't see any limitations with that compared to what you can do on a PC. Of course, dealing with 20 MHz channels on a poor ARM processor is very hard, so this might or might not work out, and might require hand-tweaking system performance. Don't forget that if using gr-ieee-802-11, you'll need a high-bandwidth link to your SDR hardware – typically, Gigabit Ethernet or USB3, the CPU power to handle the torrent of data that enters and leaves your computer as samples through that link, the power to process that data, and only if you've got all that covered and still have CPU to spare to actually do something with your data payload, you might consider doing a sensible network data rate benchmark.

Generally, regarding rate: This is not 100.0% true, but in essence: Either your computer is fast enough to run the flow graph at the sampling rate you need to cover the full channel, or not. It's not like "my slow computer can reliably use gr-ieee-802-11, but to get great rates, I'll need a slightly faster one".
It's more like "my computer is too slow, the CPU can't keep up with the millions of samples needing processing per second, so it totally does not work", or "my computer is fast enough, it reliably works in all modes".

Best regards,

Marcus

On 14.04.2017 18:58, Thomas Wilkinson wrote:

Just wanted to push this inquiry back to the surface:

Is anyone aware of GR-IEEE802-11 having been implemented with an embedded system? If so, what is the maximum data rate achieved?

Thanks,

Tom

On Wed, Apr 12, 2017 at 3:22 PM, Thomas Wilkinson <address@hidden> wrote:

Is anyone aware of GR-IEEE802-11 having been implemented with an embedded system? If so, what is the maximum data rate achieved?

Thanks,

Tom

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Regards,

Tom Wilkinson

SMART Scholar

MS Student, Electrical Engineering

NC State University

c: 919.951.4449

e: address@hidden

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Regards,

Tom Wilkinson

SMART Scholar

MS Student, Electrical Engineering

NC State University

c: 919.951.4449

e: address@hidden