[HTML][HTML] Machine learning for physical layer in 5G and beyond wireless networks: A survey
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
6G networks: Beyond Shannon towards semantic and goal-oriented communications
EC Strinati, S Barbarossa - Computer Networks, 2021 - Elsevier
The goal of this paper is to promote the idea that including semantic and goal-oriented
aspects in future 6G networks can produce a significant leap forward in terms of system …
aspects in future 6G networks can produce a significant leap forward in terms of system …
Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …
computer vision, natural language processing, and speech recognition by its strong …
Machine learning threatens 5G security
J Suomalainen, A Juhola, S Shahabuddin… - IEEE …, 2020 - ieeexplore.ieee.org
Machine learning (ML) is expected to solve many challenges in the fifth generation (5G) of
mobile networks. However, ML will also open the network to several serious cybersecurity …
mobile networks. However, ML will also open the network to several serious cybersecurity …
On softwarization of intelligence in 6G networks for ultra-fast optimal policy selection: Challenges and opportunities
The emerging Sixth Generation (6G) communication networks promising 100 to 1000 Gb/s
rates and ultra-low latency (1 millisecond) are anticipated to have native, embedded Artificial …
rates and ultra-low latency (1 millisecond) are anticipated to have native, embedded Artificial …
[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
[HTML][HTML] UbiPriSEQ—Deep reinforcement learning to manage privacy, security, energy, and QoS in 5G IoT hetnets
5G networks and Internet of Things (IoT) offer a powerful platform for ubiquitous
environments with their ubiquitous sensing, high speeds and other benefits. The data …
environments with their ubiquitous sensing, high speeds and other benefits. The data …
Big AI models for 6G wireless networks: Opportunities, challenges, and research directions
Recently, big artificial intelligence (AI) models represented by chatGPT have brought an
incredible revolution. With the pre-trained big AI model (BAIM) in certain fields, numerous …
incredible revolution. With the pre-trained big AI model (BAIM) in certain fields, numerous …
Reinforcement learning-based physical cross-layer security and privacy in 6G
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …