72 citations · 164 across the 8 of their papers we have counts for
9 papers
Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey
Abdulmalik Alwarafy, Mohamed Abdallah, Bekir Sait Ciftler +2
Next generation wireless networks are expected to be extremely complex due to their massive heterogeneity in terms of the types of network architectures they incorporate, the types…
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
Muhammad Shehab, Bekir S. Ciftler, Tamer Khattab +2
In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario with the aim of maximizing the sum rate of users.…
DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks
Bekir Sait Ciftler, Abdulmalik Alwarafy, Mohamed Abdallah +1
In this paper, a Deep Q-Network (DQN) based multi-agent multi-user power allocation algorithm is proposed for hybrid networks composed of radio frequency (RF) and visible light com…
Federated Mimic Learning for Privacy Preserving Intrusion Detection
Noor Ali Al-Athba Al-Marri, Bekir Sait Ciftler, Mohamed Abdallah
Internet of things (IoT) devices are prone to attacks due to the limitation of their privacy and security components. These attacks vary from exploiting backdoors to disrupting the…
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method
Bekir Sait Ciftler, Abdullatif Albaseer, Noureddine Lasla +1
Received Signal Strength (RSS) fingerprint-based localization has attracted a lot of research effort and cultivated many commercial applications of location-based services due to i…
Exploiting Unlabeled Data in Smart Cities using Federated Learning
Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed Abdallah +1
Privacy concerns are considered one of the main challenges in smart cities as sharing sensitive data brings threatening problems to people's lives. Federated learning has emerged a…
Indoor UAV Navigation to a Rayleigh Fading Source Using Q-Learning
Bekir Sait Ciftler, Adem Tuncer, Ismail Guvenc
Unmanned aerial vehicles (UAVs) can be used to localize victims, deliver first-aid, and maintain wireless connectivity to victims and first responders during search/rescue and publ…
Occupancy Counting with Burst and Intermittent Signals in Smart Buildings
Bekir Sait Ciftler, Sener Dikmese, Ismail Guvenc +2
Zone-level occupancy counting is a critical technology for smart buildings and can be used for several applications such as building energy management, surveillance, and public saf…
IoT Localization for Bistatic Passive UHF RFID Systems with 3D Radiation Pattern
Bekir Sait Ciftler, Abdullah Kadri, Ismail Guvenc
Passive Radio-Frequency IDentification (RFID) systems carry critical importance for Internet of Things (IoT) applications due to their energy harvesting capabilities. RFID based po…