IEEE Global Communications Conference
4–8 December 2022 // Rio de Janeiro, Brazil // Hybrid: In-Person and Virtual Conference
Accelerating the Digital Transformation through Smart Communications

WS01: 3rd Workshop on Network Management for 6G Communication Systems (NetMan6G) - Virtual


*All times are BRT (GMT-3)

SUNDAY, DECEMBER 4 08:30-10:00

Cloud Networks

Time: 08:30-10:00 BRT
Demonstrating fluid connectivity for Computing Anywhere with 6G Cloud Networks
Paolo P Pileggi (Aveco de Bondt & diTTo, The Netherlands); Toni Dimitrovski, Irina Chiscop and Jeffrey Panneman (TNO, The Netherlands)
Reinforcement Learning Based Congestion Control Mechanism for Opportunistic Networks
Jagdeep Singh (University of Delhi & Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India - Govt. of India, India); Sanjay Kumar Dhurandher (NSIT, University of Delhi, India); Isaac Woungang (Ryerson University, Canada); Periklis Chatzimisios (International Hellenic University (Greece), Greece & University of New Mexico (USA), USA); Joel J. P. C. Rodrigues (Senac Fac of Ceará, Brazil & Instituto de Telecomunicações, Portugal)
Deep RL-assisted Energy Harvesting in CR-NOMA Communications for NextG IoT Networks
Syed Asad Ullah and Shah Zeb (National University of Sciences and Technology, Pakistan); Aamir Mahmood (Mid Sweden University, Sweden); Syed Ali Hassan (National University of Sciences and Technology, Pakistan); Mikael Gidlund (Mid Sweden University, Sweden)
Mobility Aware Optimization in the Metaverse
Zhaohui Huang (Kings College London, United Kingdom (Great Britain)); Vasilis Friderikos (King's College London, United Kingdom (Great Britain))
Optimal Dynamic Orchestration in NDN-based Computing Networks
Hao Feng (Intel Labs, USA); Yi Zhang (Intel Corporation, USA); Srikathyayani Srikanteswara (Intel, USA); Marcin Spoczynski (Intel labs, USA); Gabriel Arrobo (Intel Corporation, USA); Jing Zhu (Intel, USA); Nageen Himayat (Intel Corporation, USA)

SUNDAY, DECEMBER 4 10:30-12:00

Resource Optimized Networks

Time: 10:30-12:00 BRT
Investigating Reliability for URLLC in EUHT-5G a new IMT-2020 Candidate Technology
Muhammad Arslan Usman (Kingston University & Pangea Connected Ltd., United Kingdom (Great Britain)); Nuwan S Weerasinghe (Kingston University & iScienta Limited, United Kingdom (Great Britain)); Rafay Ansari (Northumbria University, United Kingdom (Great Britain)); Muhammad Rehan Usman (Superior University, Pakistan); Christos Politis (Kingston University, United Kingdom (Great Britain))
BCLB: Blockchain-based Controller Load Balance for Safe and Reliable Resource Optimization
Hao She, Xiaozhen Zhu and Yongan Guo (Nanjing University of Posts and Telecommunications, China); Haotong Cao (The Hong Kong Polytechnic University, Hong Kong); Sahil Garg (Resilient Machine Learning Institute (ReMI), Canada); Georges Kaddoum (ETS Engineering School, University of Québec, Canada)
NEMI: A 6G-ready, AI-enabled Autonomic Network Management System for Open Campus Networks
Marius Corici and Varun Gowtham (Fraunhofer FOKUS, Germany); Thomas Magedanz (Fraunhofer Institute FOKUS / TU Berlin, Germany); Arun Prakash (Fraunhofer FOKUS & Technische Universität Berlin, Germany); Florian Schreiner (Fraunhofer Institue FOKUS, Germany)
Heuristic Distribution of Latency-Sensitive Tasks in Multi-Access Edge Computing Systems
Guilherme Iecker Ricardo, Amal Benhamiche, Nancy Perrot and Yannick Carlinet (Orange Labs, France)
Energy Efficient Resource Scheduling in Cloud Computing Based on Task Arrival Model
Bin Wang, Yongheng Liu and Fan Zhang (Peng Cheng Laboratory, China); Jun Jiang (South China University of Technology, China)

SUNDAY, DECEMBER 4 13:30-15:00

AI Enabled 5G Beyond/6G Networks

Time: 13:30-15:00 BRT
Energy Maximization for D2D Groups With Uplink NOMA Using Deep Reinforcement Learning
Vineet Vishnoi (Bennett University, India); Ishan Budhiraja, Suneet Gupta and Neeraj Joshi (Bennett University, Greater Noida, India); Himanshu Sharma (Thapar Institute of Engineering and Technology, India); Neeraj Kumar (Thapar University Patiala, India)
Neural network Based tuning of the Initial Congestion Window of Thin-streamed Application Traffic
Madhan Raj Kanagarathinam (Samsung Research Institute India Bangalore, India & Indian Institute of Technology Madras, India); Krishna M. Sivalingam (Indian Institute of Technology Madras, India)
A canonical correlation-based framework for performance analysis of radio access networks
Furqan Ahmed (Elisa Corporation, Finland); Muhammad Zeeshan Asghar and Jyri Hämäläinen (Aalto University, Finland)
Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis
Mohammadreza Kouchaki and Vuk Marojevic (Mississippi State University, USA)
Optimizing Computational and Communication Resources for MEC Network Empowered UAV-RIS Communication
Asad Mahmood, Thang X. Vu, Wali Ullah Khan, Symeon Chatzinotas and Björn Ottersten (University of Luxembourg, Luxembourg)

SUNDAY, DECEMBER 4 15:30-17:00

Massive MIMO/Network Slicing

Time: 15:30-17:00 BRT
Survey Propagation for Cell-Free Massive MIMO Pilot Assignment
Sunho Kim, Hong Ki Kim and Sang Hyun Lee (Korea University, Korea (South))
Sustainable Wireless Delivery for HD-Video Streaming via Short Fountain-Code Assisted UDP
Zheng Hancong, Qinghe Du, Ning Shen and Ruibo Zhang (Xi'an Jiaotong University, China)
PRACH Sequence Design for NR Unlicensed Spectrum
Li Zhen, Shuchang Li, Yue Wang and Jingrui Su (Xi'an University of Posts and Telecommunications, China); Keping Yu (Hosei University, Japan)
Intent-Driven Management for Multi-Vertical End-to-End Network Slicing Services
Min Xie (Telenor Research & Telenor Group, Norway); Pedro Henrique Gomes (Ericsson Research, Brazil); Jörg Niemöller (Ericsson, Sweden); Patrick Waldemar (Telenor ASA, Norway)
Knowledge-Assisted Few-Shot Fault Diagnosis in Cellular Networks
Jianpeng Li, Kun Zhu and Yang Zhang (Nanjing University of Aeronautics and Astronautics, China)

THURSDAY, DECEMBER 8 08:30-10:00

Industrial Autonomous Networks

Time: 08:30-10:00 BRT
Design and Resource Allocation of NOMA-based Transmission Scheme for Industrial Collaborative AR
Farnaz Khodakhah, Aamir Mahmood, Sarder Fakhrul Abedin, Kyi Thar, Patrik Osterberg and Mikael Gidlund (Mid Sweden University, Sweden)
Autonomous Driving From the Sky: Design and End-to-End Performance Evaluation
Matteo Bordin (Northeastern University, USA); Marco Giordani (University of Padova, Italy); Michele Polese and Tommaso Melodia (Northeastern University, USA); Michele Zorzi (University of Padova, Italy)
A Novel Method of Combining Decision Making and Optimization for LiFi Resource Allocation
Han Ji and Xiping Wu (University College Dublin, Ireland)
LIDS: Lightweight Dynamic Scheduling Technique for 6G-enabled Massive LoRa based IoT Systems
Akshitha Kumbam (BITS Pilani Hyderabad Campus, India); Nikumani Choudhury (BITS Pilani, India); Moustafa M. Nasralla (Prince Sultan University, Saudi Arabia)
Novel Deep Packet Compression For Industrial Internet of Things
Mingkai Chen, Hang Lu and Xinmian Xu (Nanjing University of Posts and Telecommunications, China); Xiao-Wei Tang, Qiang Fan and Chong Lou (Huawei Technologies Co., Ltd, China)

THURSDAY, DECEMBER 8 10:30-12:00

Edge Computing and SDN Networks

Time: 10:30-12:00 BRT
Edge Computing Based Resource Supplementation for Software Defined Vehicular Networks
Shilpi Mittal and Deepanshu Garg (Chandigarh University, India); Rasmeet S Bali (Chandigarh University, Mohali, India); Gagangeet Singh Aujla (Durham University, United Kingdom (Great Britain))
CFINT: Cluster Based Fast In-band Network-wide Telemetry in 6G-enabled Networks
Du Chen and Deyun Gao (Beijing Jiaotong University, China); Chuan Heng Foh (University of Surrey, United Kingdom (Great Britain)); Hanxiao Yan (Beijing Jiaotong University, China)
Acceleration of applying AI to open intelligent network using parallel simulation for RL training
Minha Lee (Samsung Research, Korea (South)); Hyunsung Cho and Hwejoo Lee (Samsung Electronics, Korea (South)); Hun-je Yeon (Yonsei University & Samsung Electronics, Korea (South)); Sukhdeep Singh (Samsung R&D India - Bangalore, India)
Computer Vision Aided Blockage Prediction in Real-World Millimeter Wave Deployments
Gouranga Charan and Ahmed Alkhateeb (Arizona State University, USA)

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