12 citations · 12 across the 3 of their papers we have counts for
7 papers
Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning
Farhad Rezazadeh, Hatim Chergui, Christos Verikoukis
Artificial intelligence (AI)-driven zero-touch network slicing is envisaged as a promising cutting-edge technology to harness the full potential of heterogeneous 5G and beyond 5G (…
Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym
Farhad Rezazadeh, Hatim Chergui, Luis Alonso +1
Artificial intelligence (AI)-driven zero-touch network slicing (NS) is a new paradigm enabling the automation of resource management and orchestration (MANO) in multi-tenant beyond…
Self-Tuning Spectral Clustering for Adaptive Tracking Areas Design in 5G Ultra-Dense Networks
Brahim Aamer, Hatim Chergui, Nouamane Chergui +4
In this paper, we address the issue of automatic tracking areas (TAs) planning in fifth generation (5G) ultra-dense networks (UDNs). By invoking handover (HO) attempts and measurem…
Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in sub-6 GHz/mmWave 5G Networks
Hatim Chergui, Kamel Tourki, Redouane Lguensat +3
Reliability and latency challenges in future mixed sub-6 GHz/millimeter wave (mmWave) fifth generation (5G) cell-free massive multiple-input multiple-output (MIMO) networks is to g…
MaRe: a MapReduce-Oriented Framework for Processing Big Data with Application Containers
Marco Capuccini, Martin Dahlö, Salman Toor +1
Background. Life science is increasingly driven by Big Data analytics, and the MapReduce programming model has been proven successful for data-intensive analyses. However, current…
Rician -Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks
Hatim Chergui, Mustapha Benjillali, Mohamed-Slim Alouini
In this report, we introduce the concept of Rician -factor-based radio resource and mobility management for fifth generation (5G) ultra-dense networks (UDN), where the informati…