British Telecom India Research Centre (BTIRC) was launched in 2019 to foster collaboration between British Telecom and Indian Institute of Science. The focus areas of research and development are
Two recent keywords in the 5G wireless world are O-RAN and the Open Air Interface (OAI). This project aims to implement the Split7.x architecture in OAI code base following the O-RAN principles. This creates a mutually beneficial opensource platform that can facilitate both research and commercialization in 5G area. The current OAI codebase maintains split-8 architecture where the entire signal processing is performed on a host PC exchanges I/Q samples with the radio unit for transmission and reception. The OAI system supports different radio front-end units. more
Link Adaptation, Scheduling, and Feedback Techniques in Practical Wireless Systems Group: 5G Mobility PI: K V S Hari & Neelesh B. Mehta
The availability of channel state information (CSI) at the base station (BS) plays a crucial role in determining the spectral efficiency and capacity of a cellular system. Acquiring CSI entails feedback from the user equipment (UE) to the BS. The accuracy of the CSI available at the BS affects the achievable spectral efficiency and capacity more
Interactive AR/VR digital twin for navigation and monitoring of office spaces Group: I3D Lab PI: Pradipta Biswas
This project will develop an interactive and immersive digital twin of BT office premises in Bangalore for real time monitoring of building and help in navigation for visitors. The solution will be deployed using state of the art virtual and augmented reality systems and follow a user centred design process on developing multimodal interaction with the AR/VR system. more
Typically chatbots in the industrial scenarios are trained for a particular task in a particular domain. Specific datasets are required for effective training such a chatbot. An example of this would be, say, restaurant booking. Seldom, such chatbots are useful in a larger context. British telecom was facing this problem, of user intention and domain change while in chat. more
Conversational Speech Analytics Group: LEAP Lab PI: Prof. Sriram Ganapathy
Automatic transcription of speech conversations is a challenging problem due to the spontaneous nature of conversational speech; presence of multiple speakers and speaker overlap. Speaker diarization and automatic speech recognition (ASR) are the two important tasks in a conversational speech transcription system.more
Inter-Access Points Coordination Group: ECE Dept PI: Prof. Chandramani Singh and Prof Neelesh Mehta
Improving the coordination of transmissions across the Complete WiFi system through Co-ordinated Spatial Reuse and Co-ordinated OFDMA scheduling for improved customer experience for QoS sensitive applications.
