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 …
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 …
Deep Learning Based Energy, Spectrum, and SINR-Margin Tradeoff Enabled Resource Allocation Strategies for 6G
In the rapidly evolving landscape of wireless communication systems, the forthcoming sixth-
generation technology aims to achieve remarkable milestones, including ultra-high data …
generation technology aims to achieve remarkable milestones, including ultra-high data …
Qcell: Self-optimization of softwarized 5g networks through deep q-learning
With the unprecedented rise in traffic demand and mobile subscribers, real-time fine-grained
optimization frame-works are crucial for the future of cellular networks. Indeed, rigid and …
optimization frame-works are crucial for the future of cellular networks. Indeed, rigid and …
Deep reinforcement learning for resource allocation in 5G communications
The rapid growth of data traffic has pushed the mobile telecommunication industry towards
the adoption of fifth generation (5G) communications. Cloud radio access network (CRAN) …
the adoption of fifth generation (5G) communications. Cloud radio access network (CRAN) …
Five facets of 6G: Research challenges and opportunities
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …
turned their attention to the exploration of radical next-generation solutions. At this early …
AI-based radio resource allocation in support of the massive heterogeneity of 6G networks
There is a consensus in industry and academia that 6G wireless networks will incorporate
massive heterogeneous radio access technologies (RATs) in order to cater to the high …
massive heterogeneous radio access technologies (RATs) in order to cater to the high …
Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
Knowledge-driven deep learning paradigms for wireless network optimization in 6G
In the sixth-generation (6G) networks, newly emerging diversified services of massive users
in dynamic network environments are required to be satisfied by multi-dimensional …
in dynamic network environments are required to be satisfied by multi-dimensional …
AI-enabled radio resource allocation in 5G for URLLC and eMBB users
M Elsayed, M Erol-Kantarci - 2019 IEEE 2nd 5G World Forum …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) network is expected to accommodate heterogeneous traffic with
diverse QoS demands. In this paper, we address the coexistence of Ultra-Reliable Low …
diverse QoS demands. In this paper, we address the coexistence of Ultra-Reliable Low …