no code implementations • 24 Nov 2023 • Attai Ibrahim Abubakar, Michael S. Mollel, Naeem Ramzan
The performance evaluation reveals that the proposed framework can achieve an energy saving that is about 77% more than that of the state-of-the-art solutions while respecting the QoS constraints of the network.
no code implementations • 17 Apr 2022 • Attai Ibrahim Abubakar, Iftikhar Ahmad, Kenechi G. Omeke, Metin Ozturk, Cihat Ozturk, Ali Makine Abdel-Salam, Michael S. Mollel, Qammer H. Abbasi, Sajjad Hussain, Muhammad Ali Imran
In this survey, we investigate different energy optimization techniques with a top-level classification in terms of the optimization algorithm employed; conventional and machine learning (ML).
no code implementations • 30 Apr 2020 • Metin Ozturk, Attai Ibrahim Abubakar, Rao Naveed Bin Rais, Mona Jaber, Sajjad Hussain, Muhammad Ali Imran
A novel approach is presented in this work for context-aware connectivity and processing optimization of Internet of things (IoT) networks.
no code implementations • IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) 2019 • Attai Ibrahim Abubakar, Metin Ozturk, Sajjad Hussain, Muhammad Ali Imran
In this work, we first considered a Control/Data Separated Architecture (CDSA) with a macro cell serving as the Control Base Station (CBS) and multiple small cells as Data Base Stations (DBS).