Professor Toktam Mahmoodi Professor Toktam Mahmoodi Academics Supervisors Professor of Communications Engineering Director of the Centre for Telecommunications Research. Research subject areas Engineering Contact details +44 (0)20 7848 2897 toktam.mahmoodi@kcl.ac.uk
Joint Uplink UE Pairing and Resource Allocation Optimization for Multi-cell MU-MIMO Systems: A MADRL Approach Joint Model Pruning and Resource Allocation for Wireless Time-triggered Federated Learning DRel: Dynamically Assigning Per-Packet Reliability at the Transport Layer Evaluating Adaptive Video Streaming over Multipath QUIC with Shared Bottleneck Detection AI Solutions for Overcoming Delays in Telesurgery and Telementoring to Enhance Surgical Practice and Education MUTUAL: Towards Holistic Sensing and Inference in the Operating Room The Entanglement of Communication and Computing in Enabling Edge Intelligence Intelligent Traffic Engineering for 6G Heterogeneous Transport Networks Federated Learning in Heterogeneous Wireless Networks With Adaptive Mixing Aggregation and Computation Reduction SLA-Driven Traffic Steering in B5G Systems with Network Slicing Wireless Distributed Learning: A New Hybrid Split and Federated Learning Approach Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction Opportunistic Transmission of Distributed Learning Models in Mobile UAVs A Long-Short-Term Memory-Based Model for Kinesthetic Data Reduction An Intelligent User Plane to Support In-Network Computing in 6G Networks xURLCC in 6g with meshed RAN Edge intelligence for service function chain deployment in NFV-enabled networks Intelligent Bio-Latticed Cryptography: A Quantum-Proof Efficient Proposal Wireless Distributed Learning: A New Hybrid Split and Federated Learning Approach IntOpt: In-band Network Telemetry Optimization Framework to Monitor Network Slices using P4 Graphical Modelling and Optimization of RAN function split deployed through UAVs A survey: Distributed Machine Learning for 5G and beyond Learning-Based Multi Attribute Network Selection in Heterogeneous Wireless Access Cellular V2X for Connected Automated Driving Flexible Function Split Over Ethernet Enabling RAN Slicing A Novel Hybrid Split and Federated Learning Architecture in Wireless UAV Networks Energy Efficient User Scheduling for Hybrid Split and Federated Learning in Wireless UAV Networks Slicing Scheduling for Supporting Critical Traffic in Beyond 5G An SDR-Based Experimental Study of Reliable and Low-Latency Ethernet-Based Fronthaul with MAC-PHY Split Optimising performance for nb-iot ue devices through data driven models QUIC-EST: A QUIC-Enabled Scheduling and Transmission Scheme to Maximize VoI with Correlated Data Flows Bilateral Teleoperation Performance Model for Network Resource Management The Role of Machine Learning for Trajectory Prediction in Cooperative Driving The UK Programmable Fixed and Mobile Internet Infrastructure: Overview, capabilities and use cases deployment Building a Lane Merge Coordination for ConnectedVehicles Using Deep Reinforcement Learning On the Needs and Requirements Arising from Connected and Automated Driving 5G V2X system-level architecture of 5GCAR project Multi-Radio Perspectives for Massive MTC Localization: Energy Consumption and Utility Management and Orchestration A Lane Merge Coordination Model for a V2X Scenario Deploying a Shareholder Rights Management System onto a Distributed Ledger Multicast and Broadcast Enablers for High-Performing Cellular V2X Systems 5G-U: Conceptualizing Integrated Utilization of Licensed and Unlicensed Spectrum for Future IoT Latency Bounds of Packet-Based Fronthaul for Cloud-RAN with Functionality Split Haptic Codecs for the Tactile Internet[40pt] Fixed-Mobile Convergence in the 5G era: From Hybrid Access to Converged Core Reliable and Low Latency Fronthaul for Tactile Internet applications Analysis of Uplink Scheduling for Haptic Communications Attraction-area based geo-clustering for LTE vehicular crowdsensing data offloading Softwarization and virtualization in 5G mobile networks: benefits, trends and challenges View all publications
20 December 2022 King's joins £12 million project investing in future of 6G communication systems The research is part of the government’s strategic investment in UK telecommunications.