Welcome to NCC 2019!

Description of Demos during NCC 2019

Company Brief Description
National Instruments
  • V2X Prototyping Testbed
  • Visible Light Communications (VLC) Testbed - Joint exhibit by IIIT-D & NI
  • LTE Device-2-Device Communications Testbed - Exhibit by IIIT-D
  • Massive MIMO Testbed
  • Flexible Real Time testbed for MAC & PHY
  • Wireless Communications Teaching Solutions
  1. XR:

    Come and immerse yourself into rich sensory experiences on Qualcomm’s mobile XR devices. The Snapdragon XR platforms are engineered to support high-quality UltraHD premium video with fast graphics and low power consumption, allowing users to lean back and immerse themselves in their favorite movie, videos, and sports.

  2. QCS605 based VR360:
    • Based on the Qualcomm® Vision Intelligence Platform, the QCS605 SoC features Qualcomm’s first family of system-on-chips (SoCs) built specifically for IoT in an advanced 10-nanometer process, 64-bit octa-core low-power ARM based CPU, and a powerful GPU and DSP for heterogeneous computing, introduced in 2018 for the intelligent edge market.
    • It also benefits from the integrated Qualcomm® Artificial Intelligence (AI) Engine to accelerate on-device AI, which includes the Qualcomm® Neural Processing SDK to help developers and OEMs/ODMs port trained networks into the platform providing customers the ability to take advantage of the superior AI performance designed into this solution.
  3. QCS603 based Microsoft Azure AI Kit:
    • Powered by the Qualcomm® QCS603 SoC (System on Chip) also known as the Qualcomm® Vision Intelligence Platform, QCS603 has Qualcomm’s latest AI hardware accelerators to deliver real-time AI on devices without the need for constant connectivity to the cloud or expensive machines.
    • This vision AI kit brings all the key hardware and software required to develop camera-based IoT solutions using Azure IoT Edge and Azure Machine Learning (ML) – helping innovators deliver the next generation of AI-enabled robotics, industrial safety, retail, home and enterprise security cameras, smart home devices and more.
  4. Wearables:

    This demo is based on the latest snapdragon Wear 3100 platform which showcases the new ultra low power coprocessor QC1110. This combines improved user experience with new features like customizable watchfaces, Ambient mode display for lower power consumption, integrated fitness tracking and traditional watch mode which helps extend the battery life of the device after the battery has reached 1%.

Mathworks Deep learning can achieve state-of-the-art accuracy for many tasks considered algorithmically unsolvable using traditional techniques. In this session, you can gain practical knowledge of the domain of deep learning and discover new MATLAB® features that simplify these tasks and eliminate the low-level programming. From prototype to production, you’ll see demonstrations on training and deploying neural networks for signal processing and communications applications.
Intel Details awaited
Texas Instruments 5G technology offers higher channel capacity by employing massive number of antennas, increased bandwidth, as well as multiple frequency bands. High performance transceivers that integrate the RF/analog/digital front-end for multiple transmit, receiver and feedback channels in a single device, while offering low power consumption, are key enablers for 5G base stations. TI has developed high performance integrated transceivers, AFE76xx and AFE77xx, using 2 different architectures to cater to both massive MIMO and mm-wave 5G base stations. AFE76xx is the industry’s first integrated RF sampling transceiver, which supports 4 transmit channels, 4 receive channels, simultaneous dual-band operation and a wide signal bandwidth of 800 MHz. AFE77xx is the industry’s best-in-class zero-IF integrated transceiver, which supports 4 transmit channels, 4 receive channels, 2 feedback channels and a transmit/receive bandwidth of 600 MHz/300 MHz, respectively. The demonstration would showcase the high performance of the transmitter and receiver chains in both these architectures, as well as the ability to support multiband use cases using RF sampling architecture
  • Optical camera communication – in this demo, we will show the working of an optical wireless communication using a display screen as transmitted and a camera as a receiver. We will show real time interactive session using this communication system.
  • Customer experience enhancement with 5G Cloud RAN based real time network analytics - in this demo we will show how the radio network information as per ETSI MWC architecture in 5G helps build an analytics model based on machine learning algorithms in detecting and resolving a streaming video viewing experience.
Tejas Networks Details awaited
Springer Display of books and journals

5G Testbed Demos

Institute(s) Brief Description
Service based Virtualized 5G Core network – UE Registration Demo
Demonstration of Service Based Architecture of 5G core with the key Network functions required for the UE Registration procedure. UE Registration to the 5G core with authentication, Security mode setup and UDM/UDR updation, will be demonstrated with a RAN Emulator developed in-house. RAN Emulator emulates the behavior of multiple UEs and gNBs at the core interface. The 5G Core network functions will be run in a distributed setup using RESTful interfaces over HTTP. Cloudification of NFs in 5G core will also be demonstrated.
IIT Hyderabad
RS generation and analysis box plus x86 board with FPGA
Multi-access Edge Compuing (MEC) is an evolution of cloud computing that brings the applications closer to the end devices. In the 5G network, MEC is one of the builiding blocks of meeting the Key Performance Indicators (KPIs) of the 5G network especially for the applications characterized by ultra-low latency, high bandwidth and real-time access to radio network information. In this demo, we intend to showcase a use case of MEC (real-time video caching application) fully integrated with a current LTE network using open source based OpenAirInterface (OAI) LTE and Low Latency MEC (LL-MEC) platforms
IIT Madras Details awaited
IIT Kanpur IITK is designing a 5G base station with 64 antennas. The base station hardware consists of remote radio head, which performs RF processing, and the baseband unit, which performs baseband processing. IITK, along with IITM, will demo the remote radio head hardware, and will also show the snapshots of the layout of the baseband unit, which is currently being designed.
IIT Delhi Details awaited
IIT Bombay
Integrating WLAN with the 5G Core Network
A SDN based Multi-RAT System is been designed and developed by students and researchers at IITB. We will be demonstrating initial release of Multi-RAT System which is capable of controlling and managing Wifi Infrastructure through a centralized controller. Data flow management, Wifi access point management and capturing of 802.11 management frames at a RAT agnostic controller are the features which will be demonstrated.

The upcoming releases will be integrated with 5G Core Network. It will enable devices connected via non-3GPP radio access technologies (eg. Wifi), to be a part of the 5G Network.

IISc Bangalore
Towards low-latency networked control: Fast, state-based handoff in 802.11 WLAN
We will demonstrate how a mobile communication node can leverage signal and location measurements to intelligently trigger handoffs in a local wireless network running 802.11 WLAN. This is expected to be a basic primitive for reliable, low-latency networked control applications such as mobile surveillance, (semi-)autonomous navigation and coordinated search. Looking ahead, the same apparatus will serve as a last mile component for the cellular backbone of our campus-wide communication network.
SAMEER Details awaited