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20072024
most citedOptimal Bandwidth and Power Allocation for Sum Ergodic Capacity under Fading Channels in Cognitive Radio Networks

107 citations · 731 across the 41 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

eess.SP2023★ 1 cited

Sensing and Backscatter Communication Integration: Realizing Efficiency in Wireless Systems for IoT

Shayan Zargari, Diluka Galappaththige, Chintha Tellambura

In an era driven by the Internet of Things (IoT) and rapid wireless communication advances, the synergy between sensing and backscatter communication (BackCom) has emerged as a fro…

cs.IT2023

Signal Detection in Ambient Backscatter Systems: Fundamentals, Methods, and Trends

Shayan Zargari, Azar Hakimi, Fatemeh Rezaei +2

Internet-of-Things (IoT) is rapidly growing in wireless technology, aiming to connect vast numbers of devices to gather and distribute vital information. Despite individual devices…

cs.IT2023

Enhancing AmBC Systems with Deep Learning for Joint Channel Estimation and Signal Detection

S. Zargari, A. Hakimi, C. Tellambura +1

The era of ubiquitous, affordable wireless connectivity has opened doors to countless practical applications. In this context, ambient backscatter communication (AmBC) stands out,…

cs.IT2023★ 1 cited

Cell-Free Bistatic Backscatter Communication: Channel Estimation, Optimization, and Performance Analysis

Diluka Galappaththige, Fatemeh Rezaei, Chintha Tellambura +1

This study introduces and investigates the integration of a cell-free architecture with bistatic backscatter communication (BiBC), referred to as cell-free BiBC or distributed acce…

eess.SP2023★ 1 cited

RIS-Assisted Energy Harvesting Gains for Bistatic Backscatter Networks: Performance Analysis and RIS Phase Optimization

Diluka Galappaththige, Fatemeh Rezaei, Chintha Tellambura +1

Inexpensive tags powered by energy harvesting (EH) can realize green (energy-efficient) Internet of Things (IoT) networks. However, tags are vulnerable to energy insecurities, resu…

eess.SP2023

Adversarial Score-Based Generative Models for MMSE-achieving AmBC Channel Estimation

Fatemeh Rezaei, S. Mojtaba Marvasti-Zadeh, Chintha Tellambura +1

This letter presents a pioneering method that employs deep learning within a probabilistic framework for the joint estimation of both direct and cascaded channels in an ambient bac…

cs.IT2023★ 78 cited

Breaking the Interference and Fading Gridlock in Backscatter Communications: State-of-the-Art, Design Challenges, and Future Directions

Bowen Gu, Dong Li, Haiyang Ding +2

As the Internet of Things (IoT) advances by leaps and bounds, a multitude of devices are becoming interconnected, marking the onset of an era where all things are connected. While…

eess.SP2023

Time-Spread Pilot-Based Channel Estimation for Backscatter Networks

Fatemeh Rezaei, Diluka Galappaththige, Chintha Tellambura +1

Current backscatter channel estimators employ an inefficient silent pilot transmission protocol, where tags alternate between silent and active states. To enhance performance, we p…

eess.SP2023

NOMA-Assisted Symbiotic Backscatter: Novel Beamforming Designs Under Imperfect SIC

Fatemeh Rezaei, Diluka Galappaththige, Chintha Tellambura +1

Optimal beamforming designs under imperfect successive interference cancellation (SIC) decoding for a symbiotic network of non-orthogonal multiple access (NOMA) primary users and a…