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RESEARCH PAPERS

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5G
RESEARCH PAPER

Enhanced Index-Based Feedback Overhead Reduction for WLANs

"Compressed beamforming algorithm is used in the current Wi-Fi standard to reduce the beamforming feedback overhead (BFO). However, with each new amendment of the standard the number of supported ante ...
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RESEARCH PAPER

AAKA: An Anti-Tracking Anonymous Authentication Scheme for Next Generation Mobile Networks

"The geographic data and timestamps of subscribers held by mobile carriers have long been used by law enforcement and intelligence agencies to conduct legal investigations, largescale surveillance, or ...
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RESEARCH PAPER

PROMPT: Prediction of Channel Metrics for Proactive Optimization in Cellular Networks

The ubiquitous deployment of 4G/5G technology has made it a critical infrastructure for society that will facilitate the delivery and adoption of emerging applications and use cases (extended reality, ...
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RESEARCH PAPER

Formation and Assertion of Data Unit Groups in 3GPP Networks with TSN and PDU Set Support

"Industrial applications and Extended Reality vertical sectors have expressed the need for dedicated Quality of Service considerations by 3GPP to support time-sensitive and bursty high throughput comm ...
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RESEARCH PAPER

Real-Time AI-Enabled CSI Feedback Experimentation with Open RAN

"Abstract—3rd Generation Partnership Project (3GPP) Release 18 has initiated a comprehensive study of Artificial Intelligence (AI)/Machine Learning (ML) use cases for Air Interface, e.g., Channel Stat ...
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RESEARCH PAPER

Overcoming Directional Deafness in High Frequency Sidelink Communications

"5G new radio (NR) sidelink (SL) is envisioned as a key enabler of high speed, low latency applications like automated driving. To meet the high data rate requirements for such applications, SL suppor ...
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RESEARCH PAPER

5G-CLARITY: 5G-Advanced Private Networks Integrating 5GNR, Wi-Fi and LiFi

The future of manufacturing industry highly depends on digital systems that convert existing production and monitoring systems to autonomous systems with stringent requirements in terms of availabilit ...
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RESEARCH PAPER

XRC: An Explicit Rate Control for Future Cellular Networks

We propose XRC, an explicit rate control algorithm that overcomes the poor performance of commonly used TCP variants in cellular networks. XRC exploits an explicit feedback from the radio access netwo ...
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RESEARCH PAPER

Deep Autoencoders for Massive MIMO CSI Feedback with Quantization and Entropy Coding

Techniques which leverage channel state information (CSI) at a transmitter to adapt wireless signals to changing propagation conditions have been shown to improve the reliability of modern multiple in ...
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RESEARCH PAPER

Deep Learning-based DMRS Configuration for MIMO Channel Estimation

In this work, we propose a novel deep learning-based framework for the adaptive configuration of DMRS used for MIMO CCE. Specifically, a neural network architecture is proposed at the terminal side wh ...
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