17 citations · 18 across the 6 of their papers we have counts for
6 papers
Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel
Sagnik Bhattacharya, Abhishek K. Gupta
An efficient channel estimation is of vital importance to help THz communication systems achieve their full potential. Conventional uplink channel estimation methods, such as least…
Scaling 6G Subscribers with Fewer BS Antennas using Multi-carrier NOMA in Fixed Wireless Access
Kamyar Rajabalifardi, Sagnik Bhattacharya, Mehrnaz Afshang +2
This paper introduces a novel power allocation and subcarrier optimization algorithm tailored for fixed wireless access (FWA) networks operating under low-rank channel conditions,…
Optimal Power Allocation and Time Sharing in Low Rank Multi-carrier Wi-Fi Channels
Sagnik Bhattacharya, Kamyar Rajabalifardi, Muhammad Ahmed Mohsin +2
The ever-evolving landscape of distributed wireless systems, e.g. multi-user AR/VR systems, demands high data rates (up to 500 Mbps per user) and low power consumption. With increa…
Dynamic Anchor Selection and Real-Time Pose Prediction for Ultra-wideband Tagless Gate
Junyoung Choi, Sagnik Bhattacharya, Joohyun Lee
Ultra-wideband (UWB) is emerging as a promising solution that can realize proximity services, such as UWB tagless gate (UTG), thanks to centimeter-level localization accuracy based…
Power-Efficient Indoor Localization Using Adaptive Channel-aware Ultra-wideband DL-TDOA
Sagnik Bhattacharya, Junyoung Choi, Joohyun Lee
Among the various Ultra-wideband (UWB) ranging methods, the absence of uplink communication or centralized computation makes downlink time-difference-of-arrival (DL-TDOA) localizat…
Deep Learning-based Real-time Smartphone Pose Detection for Ultra-wideband Tagless Gate
Junyoung Choi, Sagnik Bhattacharya
As commercial interest in proximity services increased, the development of various wireless localization techniques was promoted. In line with this trend, Ultra-wideband (UWB) is e…