A comprehensive survey on radio resource management in 5G HetNets: Current solutions, future trends and open issues
The 5G network technologies are intended to accommodate innovative services with a large
influx of data traffic with lower energy consumption and increased quality of service and user …
influx of data traffic with lower energy consumption and increased quality of service and user …
Towards energy efficient 5G networks using machine learning: Taxonomy, research challenges, and future research directions
As the world pushes toward the use of greener technology and minimizes energy waste,
energy efficiency in the wireless network has become more critical than ever. The next …
energy efficiency in the wireless network has become more critical than ever. The next …
Deep reinforcement learning for energy-efficient multi-channel transmissions in 5G cognitive hetnets: Centralized, decentralized and transfer learning based solutions
Energy efficiency (EE) constitutes a key target in the deployment of 5G networks, especially
due to the increased densification and heterogeneity. In this paper, a Deep Q-Network …
due to the increased densification and heterogeneity. In this paper, a Deep Q-Network …
The frontiers of deep reinforcement learning for resource management in future wireless HetNets: Techniques, challenges, and research directions
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
Deep reinforcement learning for radio resource allocation and management in next generation heterogeneous wireless networks: A survey
A Alwarafy, M Abdallah, BS Ciftler, A Al-Fuqaha… - ar** Wi-Fi cells—constitutes the design
challenge for next-generation networks. Standardization for recently started IEEE 802.11 be …
challenge for next-generation networks. Standardization for recently started IEEE 802.11 be …
Learning-based hierarchical edge caching for cloud-aided heterogeneous networks
Edge caching has emerged as a promising technique against latency caused by explosive
growth of mobile data traffic through caching popular contents at the edge networks …
growth of mobile data traffic through caching popular contents at the edge networks …
A review of machine learning techniques for enhanced energy efficient 5G and 6G communications
TP Fowdur, B Doorgakant - Engineering Applications of Artificial …, 2023 - Elsevier
Cellular technologies have evolved continuously from the 1st to the 5th generation (5G) to
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …