43 citations · 115 across the 16 of their papers we have counts for
18 papers
On the Vulnerability of Deep Automatic Modulation Classifiers to Explainable Backdoor Threats
Younes Salmi, Hanna Bogucka
Deep learning (DL) has been widely studied for assisting applications of modern wireless communications. One of the applications is automatic modulation classification (AMC). Howev…
Physical Backdoor Attack Against Deep Learning-Based Modulation Classification
Younes Salmi, Hanna Bogucka
Deep Learning (DL) has become a key technology that assists radio frequency (RF) signal classification applications, such as modulation classification. However, the DL models are v…
Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening
Younes Salmi, Hanna Bogucka
This paper investigates the susceptibility to model integrity attacks that overload virtual machines assigned by the k-means algorithm used for resource provisioning in fog network…
Nonlinear symbols combining for Power Amplifier-distorted OFDM signal reception
Pawel Kryszkiewicz, Hanna Bogucka
Nonlinear distortion of a multicarrier signal by a transmitter Power Amplifier (PA) can be a serious problem when designing new highly energy-efficient wireless systems. Although t…
An Open-RAN Testbed for Detecting and Mitigating Radio-Access Anomalies
Hanna Bogucka, Marcin Hoffmann, Paweł Kryszkiewicz +1
This paper presents the Open Radio Access Net-work (O-RAN) testbed for secure radio access. We discuss radio-originating attack detection and mitigation methods based on anomaly de…
Open RAN xApps Design and Evaluation: Lessons Learnt and Identified Challenges
Marcin Hoffmann, Salim Janji, Adam Samorzewski +6
Open Radio Access Networks (RAN) offer diverse economic opportunities. A transition to a flexible, modular approach within the disaggregated RAN framework is crucial, involving car…
Uberization of telecom networks for cost-efficient communication and computing
Hanna Bogucka, Bartosz Kopras
This paper discusses the uberization of telecommunication and computing network services. The Uber-like platform business model is discussed for application in future networks toge…
Secure Federated Learning for Cognitive Radio Sensing
Malgorzata Wasilewska, Hanna Bogucka, H. Vincent Poor
This paper considers reliable and secure Spectrum Sensing (SS) based on Federated Learning (FL) in the Cognitive Radio (CR) environment. Motivation, architectures, and algorithms o…
Green Time-Critical Fog Communication and Computing
Hanna Bogucka, Bartosz Kopras, Filip Idzikowski +2
Fog computing allows computationally-heavy problems with tight time constraints to be solved even if end devices have limited computational resources and latency induced by cloud c…
Task Allocation for Energy Optimization in Fog Computing Networks with Latency Constraints
Bartosz Kopras, Bartosz Bossy, Filip Idzikowski +2
Fog networks offer computing resources with varying capacities at different distances from end users. A Fog Node (FN) closer to the network edge may have less powerful computing re…
Beyond 5G: Big Data Processing for Better Spectrum Utilization
Adrian Kliks, Łukasz Kułacz, Paweł Kryszkiewicz +5
This article emphasizes the great potential of big data processing for advanced user- and situation-oriented, so context-aware resource utilization in future wireless networks. In…
Coopetition methodology for resource sharing in distributed OFDM-based cognitive radio networks
Marcin Parzy, Hanna Bogucka
In this paper, we present a distributed resource allocation mechanism in cognitive radio networks, based on a new coopeti-tion methodology, which combines advantages of nodes compe…
Out-of-Band Power Reduction in NC-OFDM with Optimized Cancellation Carriers Selection
Pawel Kryszkiewicz, Hanna Bogucka
In this letter, we propose a computationally efficient method for joint selection of cancellation carriers (CCs) and calculation of their values minimizing the out-of-band (OOB) po…
Energy Savings by Task Offloading to a Fog Considering Radio Front-End Characteristics
Pawel Kryszkiewicz, Filip Idzikowski, Bartosz Bossy +2
Fog computing can be used to offload computationally intensive tasks from battery powered Internet of Things (IoT) devices. Although it reduces energy required for computations in…
In-Band-Interference Robust Synchronization Algorithm for an NC-OFDM System
Pawel Kryszkiewicz, Hanna Bogucka
We consider receiver synchronization in the non-continguous orthogonal frequency division multiplexing (NC-OFDM)-based radio system in the presence of in-band interfering signal, w…
Low Complex, Narrowband-Interference Robust Synchronization for NC-OFDM Cognitive Radio
Pawel Kryszkiewicz, Hanna Bogucka
This paper presents a new, low-complexity algorithm for time and frequency synchronization in a non-contiguous-orthogonal frequency division multiplexing (NC-OFDM) radio communicat…
Context-based spectrum sharing in 5G wireless networks based on Radio Environment Maps
Paweł Kryszkiewicz, Adrian Kliks, Łukasz Kułacz +3
Dynamic spectrum sharing can provide many benefits to wireless networks operators. However, its efficiency requires sophisticated control mechanisms. The more context information i…
On the Benefits of Bandwidth Limiting in Decentralized Vector Multiple Access Channels
Samir M. Perlaza, Merouane Debbah, Samson Lasaulce +1
We study the network spectral efficiency of decentralized vector multiple access channels (MACs) when the number of accessible dimensions per transmitter is strategically limited.…