27 citations · 27 across the 11 of their papers we have counts for
13 papers
Data-Aided Bayesian Learning for CSI Estimation over Doubly-Selective DCO-OTFS MIMO VLC Channels with Affine-Precoded Superimposed Training Sequences
Shubham Saxena, Suraj Srivastava, Aditya K. Jagannatham +1
An orthogonal affine-precoded superimposed training sequence (AP-STS)-based framework is conceived for cyclic prefix (CP)-assisted multiple-input multiple-output (MIMO) direct-curr…
Statistical Inference-Based Channel Estimation for LD-Driven Visible Light O-OFDM Systems in the Presence of Relative Intensity and Input-Signal-Dependent Shot Noise
Shubham Saxena, Karra Sreeman Reddy, Suraj Srivastava +3
Laser diode (LD)-based luminaires are gaining increasing attention in automotive applications and are expected to extend to residential and commercial environments, creating opport…
Sparse Channel Estimation and Signal Recovery for Reduced-PAPR Visible Light Optical OFDM Systems Relying on Bayesian Learning
Shubham Saxena, Suraj Srivastava, Aditya K. Jagannatham +1
A multipath CIR estimator is proposed, followed by sparse frequency-domain (FD) signal detection, which harnesses the simultaneous-sparsity innate in the multipath CIR and FD signa…
Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels
Guangming Liang, Mingjie Yang, Dongzhu Liu +2
Accurate channel state information (CSI) underpins reliable and efficient wireless communication. However, acquiring CSI via pilot estimation incurs substantial overhead, especiall…
Bayesian Learning Aided Simultaneous Sparse Estimation of Dual-Wideband THz Channels in Multi-User Hybrid MIMO Systems
Abhisha Garg, Akash Kumar, Suraj Srivastava +3
This work conceives the Bayesian Group-Sparse Regression (BGSR) for the estimation of a spatial and frequency wideband, i.e., a dual wideband channel in Multi-User (MU) THz hybrid…
STAR-RIS-aided RSMA for the URLLC multi-user MIMO Downlink
Mohammad Soleymani, Ignacio Santamaria, Eduard Jorswieck +2
Rate splitting multiple access (RSMA) is intrinsically amalgamated with simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surfaces (RIS) to enhance energ…
Energy Efficiency Optimization of Finite Block Length STAR-RIS-aided MU-MIMO Broadcast Channels
Mohammad Soleymani, Ignacio Santamaria, Eduard Jorswieck +2
Energy-efficient designs are proposed for multi-user (MU) multiple-input multiple-output (MIMO) broadcast channels (BC), assisted by simultaneously transmitting and reflecting (STA…
Joint Angle and Velocity-Estimation for Target Localization in Bistatic mmWave MIMO Radar in the Presence of Clutter
Priyanka Maity, Suraj Srivastava, Aditya K. Jagannatham +1
Sparse Bayesian learning (SBL)-aided target localization is conceived for a bistatic mmWave MIMO radar system in the presence of unknown clutter, followed by the development of an…
Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization
Sangwoo Park, Stefan Vlaski, Lajos Hanzo
In multi-objective optimization, minimizing the worst objective can be preferable to minimizing the average objective, as this ensures improved fairness across objectives. Due to t…
DRL-based Dolph-Tschebyscheff Beamforming in Downlink Transmission for Mobile Users
Nancy Nayak, Kin K. Leung, Lajos Hanzo
With the emergence of AI technologies in next-generation communication systems, machine learning plays a pivotal role due to its ability to address high-dimensional, non-stationary…
A Framework for Fractional Matrix Programming Problems with Applications in FBL MU-MIMO
Mohammad Soleymani, Eduard Jorswieck, Robert Schober +1
An efficient framework is conceived for fractional matrix programming (FMP) optimization problems (OPs) namely for minimization and maximization. In each generic OP, either the obj…
Near-Field Multiuser Beam-Training for Extremely Large-Scale MIMO Systems
Wang Liu, Cunhua Pan, Hong Ren +3
Extremely large-scale multiple-input multiple-output (XL-MIMO) systems are capable of improving spectral efficiency by employing far more antennas than conventional massive MIMO at…
Near-Field Wideband Beamforming for Extremely Large Antenna Arrays
Mingyao Cui, Linglong Dai
The natural integration of extremely large antenna arrays (ELAAs) and terahertz (THz) communications can potentially achieve Tbps data rates in 6G networks. However, due to the ext…