Explainability in deep reinforcement learning: A review into current methods and applications
T Hickling, A Zenati, N Aouf, P Spencer - ACM Computing Surveys, 2023 - dl.acm.org
The use of Deep Reinforcement Learning (DRL) schemes has increased dramatically since
their first introduction in 2015. Though uses in many different applications are being found …
their first introduction in 2015. Though uses in many different applications are being found …
What are people doing about XAI user experience? A survey on AI explainability research and practice
JJ Ferreira, MS Monteiro - Design, User Experience, and Usability. Design …, 2020 - Springer
Explainability is a hot topic nowadays for artificial intelligent (AI) systems. The role of
machine learning (ML) models on influencing human decisions shed light on the back-box …
machine learning (ML) models on influencing human decisions shed light on the back-box …
Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey
Á Sobrinho, M Vilarim, A Barbosa… - ACM Computing …, 2023 - dl.acm.org
Ensuring the security of vertical applications in fifth-generation (5G) mobile communication
systems and previous generations is crucial. These systems must prioritize maintaining the …
systems and previous generations is crucial. These systems must prioritize maintaining the …
Explainability methods for identifying root-cause of SLA violation prediction in 5G network
Artificial Intelligence (AI) is implemented in various applications of telecommunication
domain, ranging from managing the network, controlling a specific hardware function …
domain, ranging from managing the network, controlling a specific hardware function …
3D MIMO beamforming using spatial distance SVM algorithm and interference mitigation for 5G wireless communication network
R Yadav, A Tripathi - Journal of Cases on Information Technology …, 2022 - igi-global.com
Abstract In recent decades, Multiple Input Multiple Output beamforming is deliberated as the
vital technology enablers for 5G mobile radio services. Since, it provides noticeable …
vital technology enablers for 5G mobile radio services. Since, it provides noticeable …
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case
In the context of sixth-generation (6G) networks, where diverse network slices coexist, the
adoption of AI-driven zero-touch management and orchestration (MANO) becomes crucial …
adoption of AI-driven zero-touch management and orchestration (MANO) becomes crucial …
Enhancing signal detection in 6G networks through LSTM-based MIMO technology
Artificial intelligence (AI) transforms the multiple input multiple output (MIMO) technology into
a promising candidate for beyond-fifth-generation (B5G) and upcoming sixth-generation …
a promising candidate for beyond-fifth-generation (B5G) and upcoming sixth-generation …
Comparative performance investigation of MIMO-OTFS and MIMO-OFDM using deep neural network modeling
We consider two popular wireless physical layers (PHYs), namely, multi-input multi-output
(MIMO)-orthogonal frequency division multiplexing (OFDM) and MIMO-orthogonal time …
(MIMO)-orthogonal frequency division multiplexing (OFDM) and MIMO-orthogonal time …
TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing
Sixth-generation (6G) networks anticipate intelligently supporting a massive number of
coexisting and heterogeneous slices associated with various vertical use cases. Such a …
coexisting and heterogeneous slices associated with various vertical use cases. Such a …
[PDF][PDF] A Systematic Literature Mapping on the Security of 5G and Vertical Applications
Á Sobrinho, MVP dos Santos, AB Silva, DFS Santos… - 2023 - researchgate.net
The deployment of 5G infrastructure is one of the main vectors for new application scenarios
since it enables enhanced data bandwidth, low latency, and comprehensive signal …
since it enables enhanced data bandwidth, low latency, and comprehensive signal …