activity
20172026
most citedA Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches

83 citations · 84 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2026

Joint Outage Detection and Compensation for Self-Healing 5G RAN via Deep Reinforcement Learning

Sajjad Hussain

Self-healing radio access network (RAN) requires autonomous detection and compensation of base station (BS) failures. This letter proposes an end-to-end framework combining three-c…

eess.SY2022★ 83 cited

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…

cs.NI2021

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…

cs.NI2021

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…

cs.NI2020

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…

eess.SP2020★ 1 cited

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…

cs.IT2017

Optical Non-Orthogonal Multiple Access for Visible Light Communication

Hanaa Marshoud, Sami Muhaidat, Paschalis C. Sofotasios +3

The proliferation of mobile Internet and connected devices, offering a variety of services at different levels of performance, represents a major challenge for the fifth generation…