activity
20172026
most citedUplink Sum-Rate and Power Scaling Laws for Multi-User Massive MIMO-FBMC Systems

50 citations · 86 across the 32 of their papers we have counts for

collaborators

36 papers

eess.SP2026

Joint Target-Tag Estimation in Ambient Backscatter-Based ISAC

Awadhesh Gupta, Kumar Vijay Mishra, Naveen K. D. Venkategowda +1

Integrated sensing and communication (ISAC) has emerged as a key paradigm for unifying radar sensing and wireless communications within a shared hardware and spectral framework. In…

eess.SP2026

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…

eess.SP2026

Data-Aided Variational Bayesian Inference for CSI Estimation over Doubly-Selective DCO-OTFS MIMO VLC Systems with Affine-Precoded Superimposed Training Sequences

Shubham Saxena, Suraj Srivastava, Aditya K. Jagannatham

An orthogonal affine-precoded superimposed training sequences (AP-STS)-based architecture is developed for the cyclic prefix (CP)-aided multiple input multiple output (MIMO) direct…

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

Sub-Sampling for Positioning Privacy in ISAC: Deception by Aliasing via Sparse Arrays and Pilots

L. Yashvanth, Christos Masouros, Suraj Srivastava +2

Integrated sensing and communications (ISAC) enables simultaneous communication and sensing using shared spectrum and hardware resources in wireless systems. However, securing the…

cs.IT2026

Technical Supplement Report on Full-Duplex FBMC/QAM MIMO Systems: Transceiver Design and Optimization

Sudhakar Rai, Prem Singh, Ekant Sharma +2

This technical report presents the design and analysis of filter bank multicarrier (FBMC)/QAM multi-user MISO systems. We describe the complete uplink and downlink signal processin…

eess.SP2026

Subarray based Wideband Beamforming and Variational Sparse CSI Estimation for Low-Resolution MU THz MIMO Systems

Abhisha Garg, Suraj Srivastava, Akash Kumar +1

This work conceives a unified channel estimation and beamforming framework, formulated within the principles of variational Bayesian inference. Recognizing the limitations imposed…

eess.SP2026

Semi-Blind Channel Estimation and Hybrid Receiver Beamforming in the Tera-Hertz Multi-User Massive MIMO Uplink

Abhisha Garg, Suraj Srivastava, Varsha Dubey +2

We develop a pragmatic multi-user (MU) massive multiple-input multiple-output (MIMO) channel model tailored to the THz band, encompassing factors such as molecular absorption, refl…

eess.SP2026

Terahertz Beamforming and Group Sparse Channel Estimation Relying on Low-Resolution ADCs in MU Hybrid MIMO systems

Abhisha Garg, Suraj Srivastava, Akash Kumar +3

A unified beamforming and channel estimation framework relying on Bayesian learning is conceived. Recognizing the limitations imposed by low-resolution analog-to-digital converter…

eess.SP2026

Two-Stage Hybrid Transceiver Design Relying on Low-Resolution ADCs in Partially Connected MU Terahertz (THz) MIMO Systems

Abhisha Garg, Akash Kumar, Suraj Srivastava +2

A two-stage hybrid transceiver is designed by considering a partially connected architecture at the base station (BS) for a low-resolution multi-user (MU) THz massive multiple inpu…

eess.SP2026

Amalgamated CHIRP and OFDM for ISAC

Pankaj Kumar, Mohammed El-Hajjar, Ibrahim A. Hemadeh +4

Integrated Sensing and Communication (ISAC) requires the development of a waveform capable of efficiently supporting both communication and sensing functionalities. This paper prop…

eess.SP2025

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…

eess.SP2025

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…

eess.SP2025

Spectral Efficiency Maximization for mmWave MIMO-Aided Integrated Sensing and Communication Under Practical Constraints

Jitendra Singh, Anand Mehrotra, Suraj Srivastava +2

A hybrid transmit precoder (TPC) and receive combiner (RC) pair is conceived for millimeter wave (mmWave) multiple input multiple output (MIMO) integrated sensing and communication…

eess.SP2025

Optimal Hybrid Transmit Beamforming for mm-Wave Integrated Sensing and Communication

Jitendra Singh, Banda Naveen, Suraj Srivastava +2

A hybrid beamformer (HBF) is designed for integrated sensing and communication (ISAC)-aided millimeter wave (mmWave) systems. The ISAC base station (BS), relying on a limited numbe…

eess.SP2024

Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles

Jitendra Singh, Awadhesh Gupta, Aditya K. Jagannatham +1

Millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems capable of integrated sensing and communication (ISAC) constitute a key technology for connected autonomous v…

eess.SP2024★ 1 cited

Joint Hybrid Transceiver and Reflection Matrix Design for RIS-Aided mmWave MIMO Cognitive Radio Systems

Jitendra Singh, Suraj Srivastava, Surya P. Yadav +2

In this work, a reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) multiple-input multiple-output (MIMO) cognitive radio (CR) downlink operating in the underla…

eess.SP2024

Energy-Efficient Hybrid Beamforming for Integrated Sensing and Communication Enabled mmWave MIMO Systems

Jitendra Singh, Suraj Srivastava, Aditya K. Jagannatham

This paper conceives a hybrid beamforming design (HBF) that maximizes the energy efficiency (EE) of an integrated sensing and communication (ISAC)-enabled millimeter wave (mmWave)…

eess.SP2024

Pareto Optimal Hybrid Beamforming for Short-Packet Millimeter-Wave Integrated Sensing and Communication

Jitendra Singh, Banda Naveen, Suraj Srivastava +2

Pareto optimal solutions are conceived for radar beamforming error (RBE) and sum rate maximization in short-packet (SP) millimeter-wave (mmWave) integrated sensing and communicatio…

eess.SP2024★ 21 cited

Angularly Sparse Channel Estimation in Dual-Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning

Abhisha Garg, Suraj Srivastava, Nimish Yadav +2

Bayesian learning aided massive antenna array based THz MIMO systems are designed for spatial-wideband and frequency-wideband scenarios, collectively termed as the dual-wideband ch…

cs.IT2024★ 7 cited

Asynchronous Distributed Coordinated Hybrid Precoding in Multi-cell mmWave Wireless Networks

Meesam Jafri, Suraj Srivastava, Sunil Kumar +2

Asynchronous distributed hybrid beamformers (ADBF) are conceived for minimizing the total transmit power subject to signal-to-interference-plus-noise ratio (SINR) constraints at th…

eess.SP2023

Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks

Priyanka Maity, Suraj Srivastava, Kunwar Pritiraj Rajput +3

Hybrid precoder and combiner designs are conceived for decentralized parameter estimation in millimeter wave (mmWave) multiple-input multiple-output (MIMO) wireless sensor networks…

eess.SP2023

Data-Aided CSI Estimation Using Affine-Precoded Superimposed Pilots in Orthogonal Time Frequency Space Modulated MIMO Systems

Anand Mehrotra, Suraj Srivastava, Aditya K. Jagannatham +1

An orthogonal affine-precoded superimposed pilot-based architecture is developed for the cyclic prefix (CP)-aided SISO and MIMO orthogonal time frequency space systems relying on a…