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Found 15 papers, 2 papers with code
Graph Neural Networks for Physical-Layer Security in Multi-User Flexible-Duplex Networks
This paper explores Physical-Layer Security (PLS) in Flexible Duplex (FlexD) networks, considering scenarios involving eavesdroppers.
Detection of Signals in Colored Noise: Leading Eigenvalue Test for Non-central $F$-matrices
In particular, we focus on detecting an unknown non-random signal by capitalizing on the leading eigenvalue of the whitened sample covariance matrix as the test statistic (a. k. a.
OTFS based Joint Radar and Communication: Signal Analysis using the Ambiguity Function
Orthogonal time frequency space (OTFS) modulation has recently been identified as a suitable waveform for joint radar and communication systems.
Generalized Eigenvalue Based Detection of Signals in Colored Noise: A Sample Deficient Analysis
$F$-matrix) which is constructed by whitening the signal bearing sample covariance matrix with noise-only sample covariance matrix.
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks
Since unpaired transmitters and receivers are often spatially distant, the distanced-based threshold is proposed to reduce the computation time by excluding or including the channel state information in GNNs.
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes
We further refine this trade-off by introducing a distance-based threshold for inclusion or exclusion of edges in the network.
On the Value of Stochastic Side Information in Online Learning
We study the effectiveness of stochastic side information in deterministic online learning scenarios.
Molecular Communication for Quorum Sensing Inspired Cooperative Drug Delivery
Our results show that the activation probability at the B-NM increases as this B-NM is located closer to the center of the B-NM population and the aggregate absorption rate of the drug molecules non-linearly increases as the population density increases.
Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks
Flexible duplex networks allow users to dynamically employ uplink and downlink channels without static time scheduling, thereby utilizing the network resources efficiently.
Demystifying the COVID-19 vaccine discourse on Twitter
While pro-vax tweets (37 million) far outnumbered anti-vax tweets (10 million), a majority of tweets from both stances (63% anti-vax and 53% pro-vax tweets) came from dual-stance users who posted both pro- and anti-vax tweets during the observation period.
Design and Analysis of Hardware-limited Non-uniform Task-based Quantizers
Here, we propose a new framework based on generalized Bussgang decomposition that enables the design and analysis of hardware-limited task-based quantizers that are equipped with non-uniform scalar quantizers or that have inputs with unbounded support.
On Minimizing Symbol Error Rate Over Fading Channels with Low-Resolution Quantization
We analyze the symbol error probability (SEP) of $M$-ary pulse amplitude modulation ($M$-PAM) receivers equipped with optimal low-resolution quantizers.
Separation of Control and Data Transmissions in 5G Networks may not be Beneficial
The logical separation of control signaling from data transmission in a mobile cellular network has been shown to have significant energy saving potential compared with the legacy systems.
Networking and Internet Architecture
Optimum Reconfigurable Intelligent Surface Selection for Wireless Networks
The reconfigurable intelligent surface (RIS) is a promising technology that is anticipated to enable high spectrum and energy efficiencies in future wireless communication networks.
Information Theory Information Theory
Reconfigurable Intelligent Surface assisted Two-Way Communications: Performance Analysis and Optimization
The channels between the two users and RIS can either be reciprocal or non-reciprocal.
