IEEE Future Networks World Forum
On-Demand through 15 November 2022

T1: 5G and Future Networks Technologies + Applications and Services (in-person)

12 October 2022// 16:00 -17:30 // In-Person in Montreal


Wahab Hamou-Lhadj, Concordia University, Canada


Performance of a Neural Network Receiver under Mismatch of Channel Training Samples – Pedro Henrique Carneiro Souza and Luciano Leonel Mendes (Inatel, Brazil); Richard Demo Souza (Federal University of Santa Catarina, Brazil)

On the Exact Performance of IRS-Assisted Communications Under Random and Coherent Phase Shifts Over κ-μ Fading Channels – Gustavo Rodrigues de Lima Tejerina and Luciano Leonel Mendes (Inatel, Brazil); Rausley Adriano Amaral de Souza (National Institute of Telecommunications (INATEL), Brazil)

Towards Interaction and Conflict Management in AI-assisted Operational Control Loops in 6G – Saeedeh Parsaeefard, Pooyan Habibi and Alberto Leon-Garcia (University of Toronto, Canada)

A Shapley value-enhanced evaluation technique for effective aggregation in Federated Learning – Mohammadreza Salarbashishahri, Samuel Dayo Okegbile and Jun Cai (Concordia University, Canada)

Performance Analysis of Large Aperture mMIMO UCCA Arrays in a 5G User Dense Network – Md Imrul Hasan (The University of Texas at Dallas, USA); Sk Nayemuzzaman (University of Texas at Dallas Texas, USA); Mohammad Saquib (UniversityTexas Dallas, USA)

A Study on the Use of Runtime Files in Handling Crash Reports in a Large Telecom Company – Panchal Komal, Fatima Ait-Mahammed and Abdelwahab Hamou-Lhadj (Concordia University, Canada); Zhongwen Zhu (Ericsson Canada, Canada); Salman Memon (Ericsson, Canada); Alka Isac (Ericsson AB, Canada); Pragash Krishnamoorthy (Ericsson, Canada)

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