Discussion and technical support related to USRP, UHD, RFNoC
View all threadsHello,
I am chairing the Software Defined and Cognitive Radio session at the upcoming IEEE Aerospace Conference (http://www.aeroconf.orghttp://www.aeroconf.org/). This large conference will take place March 6-13, 2021 in Big Sky, Montana. The conference provides a world-class technical program and provides excellent opportunities for both networking and recreation. This is one of the few conferences where SDR can be put in the context of a complete system and can be applied to new missions and concepts of operations.
Last year there were a few papers dealing with application of machine/deep learning to radio design. I hope to see even more next year!
Abstracts are due soon, but I can take them a bit later as well, while the full paper is due end of October. This session will focus on flexible radio architectures, including the use of GPPs, GPUs, and FPGAs. Reports of existing systems and testbeds are of significant interest. This year I'd like to introduce work related to machine learning as applied to wireless communications.
Please forward this to your colleagues working in the areas of SDR and cognitive radio.
Regards,
Eugene.
Eugene, the conference looks interesting. Where can we find the program for
past years to get a feel for the conference? I didn't see this on the
website. Thanks.
On Fri, 19 Jun 2020 at 17:02, Eugene Grayver via USRP-users <
usrp-users@lists.ettus.com> wrote:
Hello,
I am chairing the Software Defined and Cognitive Radio session at the
upcoming IEEE Aerospace Conference (http://www.aeroconf.org). This large
conference will take place March 6-13, 2021 in Big Sky, Montana. The
conference provides a world-class technical program and provides
excellent opportunities for both networking and recreation. This is one
of the few conferences where SDR can be put in the context of a complete
system and can be applied to new missions and concepts of operations.
Last year there were a few papers dealing with application of machine/deep
learning to radio design. I hope to see even more next year!
Abstracts are due soon, but I can take them a bit later as well, while
the full paper is due end of October. This session will focus on flexible
radio architectures, including the use of GPPs, GPUs, and FPGAs.
Reports of existing systems and testbeds are of significant interest.
This year I’d like to introduce work related to machine learning as applied
to wireless communications.
Please forward this to your colleagues working in the areas of SDR and
cognitive radio.
Regards,
Eugene.
USRP-users mailing list
USRP-users@lists.ettus.com
http://lists.ettus.com/mailman/listinfo/usrp-users_lists.ettus.com
--
Sincerely,
Alex-M-Humberstone
PhD Student
Klipsch School of Electrical Engineering
New Mexico State University
Las Cruces, New Mexico
Any update?
Would like to see the program for past conferences...
On Fri, 19 Jun 2020 at 22:44, Alex Humberstone alex.m.humberstone@gmail.com
wrote:
Eugene, the conference looks interesting. Where can we find the program
for past years to get a feel for the conference? I didn't see this on the
website. Thanks.
On Fri, 19 Jun 2020 at 17:02, Eugene Grayver via USRP-users <
usrp-users@lists.ettus.com> wrote:
Hello,
I am chairing the Software Defined and Cognitive Radio session at the
upcoming IEEE Aerospace Conference (http://www.aeroconf.org). This
large conference will take place March 6-13, 2021 in Big Sky, Montana.
The conference provides a world-class technical program and provides
excellent opportunities for both networking and recreation. This is one
of the few conferences where SDR can be put in the context of a complete
system and can be applied to new missions and concepts of operations.
Last year there were a few papers dealing with application of
machine/deep learning to radio design. I hope to see even more next year!
Abstracts are due soon, but I can take them a bit later as well, while
the full paper is due end of October. This session will focus on flexible
radio architectures, including the use of GPPs, GPUs, and FPGAs.
Reports of existing systems and testbeds are of significant interest.
This year I’d like to introduce work related to machine learning as applied
to wireless communications.
Please forward this to your colleagues working in the areas of SDR and
cognitive radio.
Regards,
Eugene.
USRP-users mailing list
USRP-users@lists.ettus.com
http://lists.ettus.com/mailman/listinfo/usrp-users_lists.ettus.com
--
Sincerely,
Alex-M-Humberstone
PhD Student
Klipsch School of Electrical Engineering
New Mexico State University
Las Cruces, New Mexico
--
Sincerely,
Alex-M-Humberstone
PhD Student
Klipsch School of Electrical Engineering
New Mexico State University
Las Cruces, New Mexico
2020 Program https://ieee-aess.org/conference/2020-ieee-aerospace-conference-aeroconf
2019 program https://ieee-aess.org/conference/2019-ieee-aerospace-conference
2018 program https://ieee-aess.org/conference/2018-ieee-aerospace-conference
Perhaps this is sufficient?
On Thu, Jun 25, 2020 at 6:35 PM Alex Humberstone
alex.m.humberstone@gmail.com wrote:
Any update?
Would like to see the program for past conferences...
On Fri, 19 Jun 2020 at 22:44, Alex Humberstone alex.m.humberstone@gmail.com wrote:
Eugene, the conference looks interesting. Where can we find the program for past years to get a feel for the conference? I didn't see this on the website. Thanks.
On Fri, 19 Jun 2020 at 17:02, Eugene Grayver via USRP-users usrp-users@lists.ettus.com wrote:
Hello,
I am chairing the Software Defined and Cognitive Radio session at the upcoming IEEE Aerospace Conference (http://www.aeroconf.org). This large conference will take place March 6-13, 2021 in Big Sky, Montana. The conference provides a world-class technical program and provides excellent opportunities for both networking and recreation. This is one of the few conferences where SDR can be put in the context of a complete system and can be applied to new missions and concepts of operations.
Last year there were a few papers dealing with application of machine/deep learning to radio design. I hope to see even more next year!
Abstracts are due soon, but I can take them a bit later as well, while the full paper is due end of October. This session will focus on flexible radio architectures, including the use of GPPs, GPUs, and FPGAs. Reports of existing systems and testbeds are of significant interest. This year I’d like to introduce work related to machine learning as applied to wireless communications.
Please forward this to your colleagues working in the areas of SDR and cognitive radio.
Regards,
Eugene.
USRP-users mailing list
USRP-users@lists.ettus.com
http://lists.ettus.com/mailman/listinfo/usrp-users_lists.ettus.com
--
Sincerely,
Alex-M-Humberstone
PhD Student
Klipsch School of Electrical Engineering
New Mexico State University
Las Cruces, New Mexico
--
Sincerely,
Alex-M-Humberstone
PhD Student
Klipsch School of Electrical Engineering
New Mexico State University
Las Cruces, New Mexico
Thank you David!
On Sat, 4 Jul 2020 at 10:10, David Bengtson david.bengtson@gmail.com
wrote:
2020 Program
https://ieee-aess.org/conference/2020-ieee-aerospace-conference-aeroconf
2019 program
https://ieee-aess.org/conference/2019-ieee-aerospace-conference
2018 program
https://ieee-aess.org/conference/2018-ieee-aerospace-conference
Perhaps this is sufficient?
On Thu, Jun 25, 2020 at 6:35 PM Alex Humberstone
alex.m.humberstone@gmail.com wrote:
Any update?
Would like to see the program for past conferences...
On Fri, 19 Jun 2020 at 22:44, Alex Humberstone <
alex.m.humberstone@gmail.com> wrote:
Eugene, the conference looks interesting. Where can we find the program
for past years to get a feel for the conference? I didn't see this on the
website. Thanks.
On Fri, 19 Jun 2020 at 17:02, Eugene Grayver via USRP-users <
usrp-users@lists.ettus.com> wrote:
Hello,
I am chairing the Software Defined and Cognitive Radio session at the
upcoming IEEE Aerospace Conference (http://www.aeroconf.org). This large
conference will take place March 6-13, 2021 in Big Sky, Montana. The
conference provides a world-class technical program and provides excellent
opportunities for both networking and recreation. This is one of the few
conferences where SDR can be put in the context of a complete system and
can be applied to new missions and concepts of operations.
Last year there were a few papers dealing with application of
machine/deep learning to radio design. I hope to see even more next year!
Abstracts are due soon, but I can take them a bit later as well, while
the full paper is due end of October. This session will focus on flexible
radio architectures, including the use of GPPs, GPUs, and FPGAs. Reports
of existing systems and testbeds are of significant interest. This year
I’d like to introduce work related to machine learning as applied to
wireless communications.
Please forward this to your colleagues working in the areas of SDR and
cognitive radio.
Regards,
Eugene.
USRP-users mailing list
USRP-users@lists.ettus.com
http://lists.ettus.com/mailman/listinfo/usrp-users_lists.ettus.com
--
Sincerely,
Alex-M-Humberstone
PhD Student
Klipsch School of Electrical Engineering
New Mexico State University
Las Cruces, New Mexico
--
Sincerely,
Alex-M-Humberstone
PhD Student
Klipsch School of Electrical Engineering
New Mexico State University
Las Cruces, New Mexico
--
Sincerely,
Alex-M-Humberstone
PhD Student
Klipsch School of Electrical Engineering
New Mexico State University
Las Cruces, New Mexico