A robust hybrid neural network architecture for blind source separation of speech signals exploiting deep learning
In the contemporary era, blind source separation has emerged as a highly appealing and
significant research topic within the field of signal processing. The imperative for the …
significant research topic within the field of signal processing. The imperative for the …
Network for Distributed Intelligence: A Survey and Future Perspectives
To keep pace with the explosive growth of Artificial Intelligence (AI) and Machine Learning
(ML)-dominated applications, distributed intelligence solutions are gaining momentum …
(ML)-dominated applications, distributed intelligence solutions are gaining momentum …
RAN Functional Split Options for Integrated Terrestrial and Non-Terrestrial 6G Networks
M Rihan, T Düe, MA Vakilifard… - … Africa Conference on …, 2023 - ieeexplore.ieee.org
Leveraging non-terrestrial platforms in 6G networks holds immense significance as it opens
up opportunities to expand network coverage, enhance connectivity, and support a wide …
up opportunities to expand network coverage, enhance connectivity, and support a wide …
Native Support of AI Applications in 6G Mobile Networks Via an Intelligent User Plane
While the concept of AI4Net has been widely discussed in the past decade and adopted in
5G, its counterpart, Net4AI, has not gained that much attention so far. This is mostly due to …
5G, its counterpart, Net4AI, has not gained that much attention so far. This is mostly due to …
Architectural Enhancement of Environmental-Aware Federated Inference Orchestration for Sustainable AI/ML Management
H Wu, BM Khorsandi, A Abdelkader… - … Wireless 2023; 28th …, 2023 - ieeexplore.ieee.org
Sustainability becomes one of the essential components of the future mobile network. In the
meantime, computationally starving AI/ML applications are putting increased demands on …
meantime, computationally starving AI/ML applications are putting increased demands on …