Military Communications Conference
28 November – 2 December 2022 // National Capital Region, USA
Celebrating 40 Years of MILCOM - Transforming Decision Making through JADC2

Program

(Agenda subject to change)
Time Topic Presenter Notes
8:00 a.m. Coffee and Refreshments    

8:30 a.m.

40 min

Keynote: DoD 5G OUSD Tranche Prototyping and Experimentation (Accelerate)

Debra Stanislawski 

OUSD R&E 5G 

 

9:15 a.m.

45 min

Panel: 5G Open Architecture and the role of open-source, Modular RAN and 5G technology enablers.

Moderated by: Michael Moore (Moore Integrity)

 

Bob Stephens (Keysight)

Kamakshi Sridhar (Mavenir)

Ben Peddicord (DEVCOM C5ISR)

Neel Pandeya (NI)

Pam Patton (JHUAPL)

 
10:00 a.m. Networking Break    

10:15 a.m.

20 min

Demo Presentation

Keysight: ORAN and Cyber

Bob Stephens  

10:40 a.m.

20 min

Demo Presentation

Druid: 5G Core for Military Applications

Michael O'Dwyer

 

11:05 a.m.

20 min

Demo Presentation

NI: Software Defined Radios and OAI 5G Core

Neel Pandeya  

11:30 a.m.

20 min

Paper Presentation

Sensing-Throughput Tradeoffs With Generative Adversarial Networks for NextG Spectrum Sharing

Yi Shi

Yalin E. Sagduyu

 

11:50 a.m.

20 min

Paper Presentation

3D-O-RAN: Dynamic Data Driven Open Radio Access Network Systems

Francesco Restuccia, et al.  

12:15 

1:30 pm

Lunch   Lunch boxes available

1:30 p.m.

40 min

Keynote: 5G Cybersecurity

Dr. Carl Kutsche

Idaho National Laboratory

 

2:15 p.m.

2:55 p.m.

40 min

Panel: 5G Military Applications and Cybersecurity

Moderated by: David Simpson Rear Admiral (ret.), USN

Tony Markel (NREL)

Chris Thomas (Dell)

Nino De Falcis (ADVA)

Paul Remick (AWS)

 

3:00 p.m.

20 min

Demo Presentation

AWS: Cloud Telemedicine Application Demo

Paul Remick  

3:25 p.m.

20 min

Demo Presentation

Dell: Blockchain 5G Security and ZTA

Chris Thomas  

3:50 p.m. 

20 min

Demo Presentation

University of Utah: POWDER Testbed for 5G experimentation and system prototyping

Dr. Kobus Van Der Merwe  

4:15 p.m.

20 min

Paper Presentation

Machine Learning-Based Frequency Bands Classification for Efficient Frequency Hopping Spread Spectrum Applications

Inna Valieva, et al.   

4:40 p.m.

10 min

Workshop Closing Statements Dr. Brian Kelley  
5:00 p.m. Workshop Adjourns    

 

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