Ongoing Sponsored Projects
Automated Service Management in 5G and Beyond Networks using AI
Funding Agency - Department of Telecommunications, India
Duration - Jan. 2024- Jan. 2026
Executive Summary
This research aims to address the above challenges by developing novel AI and learning-based solutions for automated fault detection, diagnosis, and network management using the meta information generated within the network (such as performance metrics, service agreements, user dynamics, etc.). The research and development will focus AI frameworks for automated network management, fault detection, and diagnosis techniques by utilizing continuous information generated within the network, such as the performance metrics, QoS requirements, user dynamics, and other metadata generated from the network to adapt the allocated resources. Another important aspect will be development of self-learning based end-to-end network slicing techniques for guaranteed QoS (low-latency and high-reliability) in uRLLC and mMTC.
The work also involves development of real-time 5G and Beyond testbed (in compliance with O-RAN, OAI, and other open protocol stack architectures) for the demonstration of the above developed automated network management and slicing techniques for guaranteed QoS in mMTC and uRLLC in conjunction with specific application use-cases such as smart metering, remotely operated vehicles, etc. Also, the data generated and acquired from the above network and real applications will aid future research and provide valuable insights into the network planning, creation, and management of time-critical services. The plan to demonstrate the automated network management and self-learning techniques for guaranteed QoS in mMTC and uRLLC in conjunction with specific application use-cases using the testbed developed at IIT Jodhpur.
Design and Realization of direct RF sampling based NavlC Receiver front end
Funding Agency - Indian Space Research Organisation, India
Duration - Jan. 2024- Jan. 2026
Executive Summary
The aim of the project is to Design and Realization of direct RF sampling based NavIC Receiver front end. A direct RF sampling radio receiver has multiple advantages over superheterodyne receivers. It is possible to design a single direct sampling RF front-end for multiple frequency bands. Such receivers effectively eliminate the need for multiple front ends. It reduces circuit complexity, uses lesser number of components and cost effective. Further the trade-off between band selection and image rejection can be avoided.
Next Generation Wireless Research and Standardization on 5G and Beyond
Funding Agency - MeitY, India
Duration - Aug. 2021- Jul. 2024
Executive Summary
The aim of the project is to design and develop physical layer technology to support ultra reliable and low latency communication (uRLLC) in 5G and beyond. The research here will focus on use of channel coding and learning based methods to address challenges of uRLLC with special emphasis on coordinated multipoint communication and advanced channel code designs. The channel code design for uRLLC need to consider short block length codes, MIMO antenna diversity, the decoding complexity and processing time.
Completed Sponsored Projects
Design and Development of NavIC Receiver
Funding Agency - MeitY, India
Duration - Oct. 2017- Jun. 2022
Executive Summary
The aim of the project is to design and develop an indigenous dual frequency NavIC Receiver. The work includes design and development of baseband signal processing algorithms for signal acquisition, code and carrier tracking, control lock detection, accumulated delta range computation and data demodulation. NavIC signals are inherently weak and susceptible to both accidental and intentional interference from terrestrial systems operating in NavIC frequency band and multipath interference caused by ionospheric reflection/refraction, and reflection from terrestrial objects in the neighborhood of the NavIC receiver. The scope of the proposed work also includes development of algorithms, for multipath mitigation, anti-jamming and anti-spoofing, that ensure proper functioning of NavIC receiver even in the indoor and urban environments with relatively high interference levels.
Computationally-efficient fixed-complexity sphere decoders for multiuser MIMO communications
Funding Agency - SERB, DST, India
Duration - Jan. 2016- Jan. 2019
Executive Summary
In many pertinent communication scenarios transmit power is not the most dominating component of the energy budget for communication links. In particular, the power consumption in multiuser MIMO communication networks is dominated by the decoding complexity of spectrally efficient space-time codes that achieve the optimal diversity-multiplexing gain tradeoff (DMT). Hence, a corresponding total power extension of communication theory that unifies transmit and processing power is required as without such a theory, we would not even know whether approaching traditional Shannon-capacity is still a worthy goal to pursue. Just as we have channel models that help us understand transmit power, we need models to understand circuit power consumption for the transceiver. The difficulty in developing a unified theory lies in developing good models for power consumed in the signal processing. The proposed work intends to develop realistic models for the power consumption and establish fundamental rate-reliability-complexity limits for multiuser MIMO communication networks by establishing the algorithmic-complexity of decoding space-times codes with computationally-efficient fixed-complexity sphere decoders.