activity
20152019
most citedA Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks

29 citations · 111 across the 19 of their papers we have counts for

collaborators

20 papers

cs.NI20192 cited

Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges

Fatima Hussain, Syed Ali Hassan, Rasheed Hussain +1

Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart devices connected to the Internet. In the wake of disruptive IoT with a huge amount and va…

cs.NI201914 cited

On the Performance of Renewable Energy-Powered UAV-Assisted Wireless Communications

Silvia Sekander, Hina Tabassum, Ekram Hossain

We develop novel statistical models of the harvested energy from renewable energy sources (such as solar and wind energy) considering harvest-store-consume (HSC) architecture. We c…

cs.NI20194 cited

Data-Driven Machine Learning Techniques for Self-healing in Cellular Wireless Networks: Challenges and Solutions

Tao Zhang, Kun Zhu, Ekram Hossain

For enabling automatic deployment and management of cellular networks, the concept of self-organizing network (SON) was introduced. SON capabilities can enhance network performance…

cs.NI2019

A Blockchain Policy and Charging Control Framework for Roaming in Cellular Networks

Ahmed Refaey, Karim Hammad, Sebastian Magierowski +1

As a technology foundation of cryptocurrencies, blockchain enables decentralized peer-to-peer trading through consensus mechanisms without the involvement of a third party. Blockch…

cs.NI201917 cited

Permissioned Blockchain for Efficient and Secure Resource Sharing in Vehicular Edge Computing

Siming Wang, Xumin Huang, Rong Yu +2

With the fast expanding scale of vehicular networks, vehicular edge computing (VEC) has emerged and attracted growing attention from both industry and academia. Parked vehicles (PV…

cs.IT2019

On Coverage Probability in Uplink NOMA With Instantaneous Signal Power-Based User Ranking

Mohammad Salehi, Ekram Hossain

In uplink non-orthogonal multiple access (NOMA) networks, the order of decoding at the base station (BS) depends on the received instantaneous signal powers (ISPs). Therefore, the…