Cooperative evolution of support vector machine empowered knowledge-based radio resource management for 5G C-RAN
N Kumar, A Ahmad - Ad Hoc Networks, 2022 - Elsevier
Cloud-radio access network (C-RAN) is an innovative approach in 5th Generation
communication networks, where baseband processing units (BBUs) are dissociated from the …
communication networks, where baseband processing units (BBUs) are dissociated from the …
Heterogeneous graph neural network for power allocation in multicarrier-division duplex cell-free massive MIMO systems
In order to maximize the spectral efficiency (SE) in multicarrier-division duplex (MDD)
enabled cell-free massive MIMO (CF-mMIMO), a heterogeneous graph neural network …
enabled cell-free massive MIMO (CF-mMIMO), a heterogeneous graph neural network …
Intelligent ultra-reliable and low latency communications: Security and flexibility
With the prosperity of emerging applications, the Generation mobile communication systems
(6G) is coming at an unimaginable speed. It is expected to provide more intelligent, flexible …
(6G) is coming at an unimaginable speed. It is expected to provide more intelligent, flexible …
Edge-aware remote radio heads cooperation for interference mitigation in heterogeneous C-RAN
M Elhattab, M Kamel… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Heterogeneous cloud radio access network (H-CRAN) has been deemed as a promising
architecture for the fifth generation wireless networks. In H-CRAN, small remote radio heads …
architecture for the fifth generation wireless networks. In H-CRAN, small remote radio heads …
Recurrent Neural Network-Based User Association and Power Control in Dynamic HetNets
This paper tackles the joint user association (UA) and power control (PC) problem for
dynamic heterogeneous networks (HetNets), where the number of active users varies over …
dynamic heterogeneous networks (HetNets), where the number of active users varies over …
Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms
In this work, we conduct a comparative study on two deep unfolding mechanisms to
efficiently perform power control in the next generation wireless networks. The power control …
efficiently perform power control in the next generation wireless networks. The power control …
Power control in massive MIMO networks using transfer learning with deep neural networks
Power control (PC) plays a crucial role in massive multiple-input-multiple-output (mMIMO)
networks. There are several heuristic algorithms, like the weighted mean square error …
networks. There are several heuristic algorithms, like the weighted mean square error …
Power control with Machine Learning Techniques in Massive MIMO cellular and cell-free systems
N Ahmadi - 2024 - uhra.herts.ac.uk
This PhD thesis presents a comprehensive investigation into power control (PC)
optimization in cellular (CL) and cell-free (CF) massive multiple-input multiple-output …
optimization in cellular (CL) and cell-free (CF) massive multiple-input multiple-output …