83 citations · 85 across the 7 of their papers we have counts for
7 papers
Machine Learning for the Internet of Underwater Things: From Fundamentals to Implementation
Kenechi Omeke, Attai Abubakar, Michael Mollel +3
The Internet of Underwater Things (IoUT) is becoming a critical infrastructure for ocean observation, marine resource management, and climate science. Its development is hindered b…
FAMAC: A Federated Assisted Modified Actor-Critic Framework for Secured Energy Saving in 5G and Beyond Networks
Attai Ibrahim Abubakar, Michael S. Mollel, Metin Ozturk +1
The constant surge in the traffic demand on cellular networks has led to continuous expansion in network capacity in order to accommodate existing and new service demands. This has…
A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches
Attai Ibrahim Abubakar, Iftikhar Ahmad, Kenechi G. Omeke +7
Wireless communication networks have been witnessing an unprecedented demand due to the increasing number of connected devices and emerging bandwidth-hungry applications. Albeit ma…
A Lightweight Cell Switching and Traffic Offloading Scheme for Energy Optimization in Ultra-Dense Heterogeneous Networks
Attai Ibrahim Abubakar, Michael S. Mollel, Metin Ozturk +2
One of the major capacity boosters for 5G networks is the deployment of ultra-dense heterogeneous networks (UDHNs). However, this deployment results in tremendousincrease in the en…
Revenue Maximization through Cell Switching and Spectrum Leasing in 5G HetNets
Attai Ibrahim Abubakar, Cihat Ozturk, Metin Ozturk +5
One of the ways of achieving improved capacity in mobile cellular networks is via network densification. Even though densification increases the capacity of the network, it also le…
Energy Optimization in Ultra-Dense Radio Access Networks via Traffic-Aware Cell Switching
Metin Ozturk, Attai Ibrahim Abubakar, João Pedro Battistella Nadas +3
Ultra-dense deployments in 5G, the next generation of cellular networks, are an alternative to provide ultra-high throughput by bringing the users closer to the base stations. On t…
Context-Aware Wireless Connectivity and Processing Unit Optimization for IoT Networks
Metin Ozturk, Attai Ibrahim Abubakar, Rao Naveed Bin Rais +3
A novel approach is presented in this work for context-aware connectivity and processing optimization of Internet of things (IoT) networks. Different from the state-of-the-art appr…