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Deepak Mishra

11 accepted papers

2024

Secure Energy Efficiency Fairness Maximization in Backscatter Throughput Constrained UAV-Assisted Data Collection

ICASSP 2024accepted

Collecting reliable data over extended areas in rural environments for surveillance purposes requires low-cost and effective technologies. This paper proposes a backscattering data collection system that uses unmanned aerial vehicles (UAVs) to overcome wireless coverage challenges in rural areas. Th…

Cited by 4SourceScholar
2024

Tag Antenna Structure Calibrated Backscattering Signal Detection

ICASSP 2024accepted

Backscatter Communication (BackCom) is gaining popularity due to its potential for sustainable and low-cost Internet of Things (IoT) applications. However, due to the limited resources of passive tags, optimizing the backscatter modulation is critical for the widespread use of this technology. Curre…

Cited by 0SourceScholar
2024

UAV Operation Time Minimization for Wireless-Powered Data Collection

ICASSP 2024accepted

Employing unmanned aerial vehicles (UAVs) for data collection is crucial in facilitating autonomous monitoring applications within wireless sensor networks (WSNs). To enable sustainable WSNs, wireless powering of ground nodes (GNs) from a flying UAV is a promising technique. However, to maximize uti…

Cited by 0SourceScholar
2023

Deep Reinforcement Learning for Green UAV-Assisted Data Collection

ICASSP 2023accepted

Due to high maneuverability and flexible deployment, unmanned aerial vehicles (UAVs) are emerging as an alternative for reliable wireless communications. The main challenge of integrating UAVs with cellular networks is their limited on-board energy capacity, which restricts their operation period. H…

Cited by 0SourceScholar
2023

RIS Reflection and Placement Optimisation for Underlay D2D Communications in Cognitive Cellular Networks

ICASSP 2023accepted

Reconfigurable intelligent surface (RIS) is considered a promising technology in sixth-generation (6G) networks due to its ability to configure the phase of signals using low-cost reflecting elements. An RIS-aided device-to-device (D2D) communication system operating in underlay mode is considered i…

Cited by 0SourceScholar
2022

Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation

NeurIPS 2022accept

Distillation in neural networks using only the samples randomly drawn from a Gaussian distribution is possibly the most straightforward solution one can think of for the complex problem of knowledge transfer from one network (teacher) to the other (student). If successfully done, it can eliminate th…

Cited by 15SourcePDFScholar
2020

Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO reader

ICASSP 2020accepted

We present a novel monostatic backscatter communication (BSC) protocol for multiple-input-multiple-output (MIMO) reader to detect signals from a single-antenna tag. Understanding tags resource constraints, it involves new preamble designing that neither requires pilot transmission from tag nor chann…

Cited by 0SourceScholar
2019

Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer

ICASSP 2019accepted

Usage of passive intelligent surface (PIS) is emerging as a low-cost green alternative to massive antenna systems for realizing high energy beamforming (EB) gains. To maximize its realistic utility, we present a novel channel estimation (CE) protocol for PIS-assisted energy transfer (PET) from a mul…

Cited by 533SourceScholar
2018

Efficacy of Multiuser Massive Miso Wireless Energy Transfer Under iq Imbalance and Channel Estimation Errors Over Rician Fading

ICASSP 2018accepted

We investigate the practical realization of energy beamforming gains in the downlink wireless power transfer from a massive antenna radio frequency (RF) source to multiple single antenna energy harvesting (EH) users. Assuming channel reciprocity for the uplink and downlink channels undergoing Rician…

Cited by 0SourceScholar