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ONLINE REGIONAL WORKSHOP ON “5G Test Bed Initiative at IIT Delhi” (April 13, 2021: Online)
April 13, 2021 @ 8:00 am - 1:30 pm
5G holds great promise for India, one of the three largest telecom markets of the world and racing towards becoming a digital economy. It is also a golden opportunity to close the gap in telecom manufacturing in the country.
ITU has recently approved three Radio Interface technologies- 3GPP 5G-RIT, 3GPP 5G-SRIT and TSDSI’s 5Gi conforming to the International Mobile Telecommunications 2020 (IMT 2020), aka 5G. These will now be used for global commercial deployments. Technology demonstrations to showcase potential of 5G and test beds are now gaining centre stage.
5G Test Bed Initiative: IIT Delhi
A multi-institute collaborative Research project on 5G Indigenous Testbed, is being executed with participation from eight institutes – IIT Bombay, IIT Delhi, IIT Hyderabad, IIT Madras, IIT Kanpur, IISc Bangalore, CEWiT and SAMEER. Each institute is contributing to the test bed in a complementary manner based on their expertise and interest. The expertise spans from antenna design on one end to the service layer architecting and designing on the other.
Faculty and research scholars at IIT Delhi are developing innovative solutions in areas of:
- Energy Harvesting in IoT systems
- Security
- Light Fidelity
- Cost Effective Air pollution monitoring system
- Multi Access Edge Computing with Haptics application
- Selective Algorithms in MIMO.
IIT Delhi, in partnership with TSDSI, is organizing an online regional workshop on “5G Test Bed Initiative at IIT Delhi” on 13 April 2021 to showcase following activities of the project:
- Multi-Access Edge Computing
- 5G NR Channel Estimation, Equalization and Blind Decoding of Control Signals
Schedule: 13 April 2021 08:00-13:30 IST
Venue: Online
Participation: Open to all by prior registration. Click here to register
Workshop Contact:
- IIT Delhi: Vinti Nayar (nayar@dbst.iitd.ac.in, +91 7827584673)
- TSDSI: Shefali Sinha (shefali@tsdsi.in, +91 9810539624)
Webinar Recording:
Program Schedule:
| Session Title | Start Time | End Time | Session Details |
|
Opening Session |
0800 | 0820 |
Address by PI, Prof. Huzur Saran Professor, Department of Computer Science & Engineering, Indian Institute of Technology, Delhi; PI of the Project “Building an end to end 5G Test Bed” in IIT Delhi |
| 0820 | 0845 |
Keynote by Prof. Brejesh Lall, Professor, Electrical Engineering Department, Coordinator of Electrical Department, Indian Institute of Technology Delhi; Co-PI of the Project “Building an end to end 5G Test Bed” in IIT Delhi |
|
|
Expert Talks #1 on Multi-access Edge Computing
|
with Prof Arzad Alam Kherani, Adjunct Faculty IIT Delhi, Associate Professor, Dept. of Electrical Engineering and Computer Science, Indian Institute of Technology, Bhilai |
||
| 0845 | 1000 |
Multi-access Edge Computing integrates the service provider’s network with the high-performance computation facility to cater to various applications such as augmented reality, vision applications, etc., at the network edge. Thus, reducing the overall latency and preserving the bandwidth to send the complete data to the centralized data centres for processing instead. This MEC Test-Bed simulates various MEC entities and components, integration with 5G-Core, substantiated by an application deployment use-case. Following topics will be covered: a) a high-level introduction to MEC and its applications b) ETSI architecture of MEC c) Implementation details of MEC in the testbed d) a live example of application development for the audience to understand |
|
| 1015 | 1200 | ||
| BREAK | 1200 | 1215 | |
|
Expert Talks #2 on Massive MIMO (FR1 & FR2) Algorithms |
with Prof SAIF K. MOHAMMED, Associate Professor, Department of Electrical Engineering, Indian Institute of Technology, Delhi |
||
| 1215 | 1330 | This talk introduces channel estimation and equalization in wireless communications. It also discusses typical implementation of channel estimation and equalization modules on an FPGA board. We also discuss control signaling and blind decoding of control signals in 5G New Radio (NR). | |