Schlagworte:
- 5G mobile networks
- 6G
- Ad Hoc
- anchor zone
- Androids Bluetooth Context-aware services Humanoid robots IEEE 802.11 Standards Mobile communication Wireless sensor networks
- base station power allocation
- base station power level
- Base stations
- blocking probability
- BS design
- BS energy model
- BS sleep mode
- cellular access network
- cellular radio
- context-aware applications
- Deep Convolutinoal Neural Network
- delay tolerant networking
- Distributed Learning
- energy efficiency
- Energy efficient network management
- energy efficient user association
- energy-proportional equipment
- federated learning
- floating content
- Gossip Learning
- green networking
- Interference
- interference-limited cellular networks
- IoT
- long-term spatial load distribution
- Moving network paradigm
- network-level energy proportionality
- opportunistic communications
- opportunistic networking
- optimization
- Power demand
- probability
- QoS-aware greening
- quality of service
- radio access networks
- radiofrequency interference
- small cells
- SWIPT
- telecommunication power management
- Throughput
- trajectory prediction
- VANETs
- Vectors
- vehicular communications
Publikationen von Marco G Ajmone Marsan sortiert nach erstem Autor
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| , , , und , Vehicle Position Nowcasting with Gossip Learning (2022), in: IEEE WCNC |
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| , , , und , Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes, 2024 |
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| , , und , Mobile Networks on the Move: Optimizing Moving Base Stations Dynamics in Urban Scenarios (2024), in: VNC |
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| , , , , und , DeepFloat: Resource-Efficient DynamicManagement of Vehicular Floating Content (2019), in: ITC 31- Networked Systems and Services |
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| , , und , A Deep Learning Strategy for Vehicular Floating Content Management (2018), in: WAIN-PERFORMANCE |
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| , , und , Impact of Mobility on the Performance of Context-Aware Applications Using Floating Content, EAI, Springer International Publishing, 2013 |
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| , , und , A simple approximate analysis of floating content for context-aware applications, IEEE, 2013 |
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| , , und , A Simple Approximate Analysis of Floating Content for Context-Aware Applications, ACM, 2013 |
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| , und , A Gossip Learning Approach to Urban Trajectory Nowcasting for Anticipatory RAN Management (2023), in: IEEE Transactions on Mobile Computing |
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| , und , Analytical Models of Floating Content in a Vehicular Urban Environment (2019), in: Elsevier Ad-Hoc networks |
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, und , Performance Modeling of Vehicular Floating Content in Urban Settings, in: International Teletraffic Conference, ITC 29, IEEE, Genoa, IEEE, 2017
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| und , The Energy Saving Potential of Static and Adaptive Resource Provisioning in Dense Cellular Networks, in: COMSNETS 2018, IEEE, Bangalore, India, IEEE, 2018 |
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und , Stop and Forward: Opportunistic Local Information Sharing Under Walking Mobility (2018), in: Ad Hoc Networks
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| und , The Value of BS Flexibility for QoS-Aware Sleep Modes in Cellular Access Networks (2014), in: IEEE ICC E2Nets 2014 |
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| , , und , Experimenting with Floating Content in an Office Setting (2014), in: IEEE Communications Magazine, 52:6 |
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| , und , Energy-Optimal RAN Configurations for SWIPT IoT (2022), in: IEEE WIOPT 2022 |
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| , , und , Persistence and Availability of Floating Content in a Campus Environment, IEEE, IEEE INFOCOM, 2015 |
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, , und , Optimal strategies for floating anchored information with partial infrastructure support (2020), in: Vehicular Communications
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| , , und , Storage Capacity of Opportunistic Information Dissemination Systems (2021), in: IEEE Transactions on Mobile Computing |
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| , und , Energy-Optimal Base Station Density in Cellular Access Networks with Sleep Modes (2014), in: Elsevier Computer Networks journal |
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| , , und , A Walk Down Memory Lane: On Storage Capacity in Opportunistic Content Sharing Systems, in: IEEE WOWMOM 2020, IEEE, 2020 |
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| , , und , Floating Gossip: Serverless Distributed Learning in Dynamic Scenarios (2026), in: IEEE Transactions on Mobile Computing, 25:9(14513--14530) |
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| , , und , QoS-Aware Greening of Interference-Limited Cellular Networks, IEEE, 2013 |
[DOI] [URL] |