Evolution toward 6G wireless networks: A resource management perspective
In this article, we first present the vision, key performance indicators, key enabling
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
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 …
Deep learning for intelligent wireless networks: A comprehensive survey
As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …
Edge intelligence in 6G systems
C Chaccour, W Saad - 6G Mobile Wireless Networks, 2021 - Springer
In this chapter, we provide a vision for edge intelligence as a key building block of 6G
wireless systems. As we evolve towards a new breed of wireless services, enabled by an …
wireless systems. As we evolve towards a new breed of wireless services, enabled by an …
Evolution toward 6G multi-band wireless networks: A resource management perspective
In this article, we first present the vision, key performance indicators, key enabling
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
Emerging technologies for 6G communication networks: Machine learning approaches
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges
Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …
popularity of wireless services worldwide. With the advancement in technology, profound …
The big-data-driven intelligent wireless network: architecture, use cases, solutions, and future trends
I Chih-Lin, Q Sun, Z Liu, S Zhang… - IEEE vehicular …, 2017 - ieeexplore.ieee.org
The concept of using big data (BD) for wireless communication network optimization is no
longer new. However, previous work has primarily focused on long-term policies in the …
longer new. However, previous work has primarily focused on long-term policies in the …
A digital twin approach for self-optimization of mobile networks
J Deng, Q Zheng, G Liu, J Bai, K Tian… - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Most of the methods in operators' current 5G networks use expert knowledge assisted by
machine learning algorithms to generate optimization decisions. However, these methods …
machine learning algorithms to generate optimization decisions. However, these methods …
[PDF][PDF] Thirty years of machine learning: The road to pareto-optimal next-generation wireless networks
Next-generation wireless networks (NGWN) have a substantial potential in terms of
supporting a broad range of complex compelling applications both in military and civilian …
supporting a broad range of complex compelling applications both in military and civilian …