| Nome |
# |
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A Deep Reinforcement Learning Approach for Data Migration in Multi-access Edge Computing, file e0d6c92c-6db4-fcf8-e053-d805fe0aa794
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694
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Simu5G: a system-level simulator for 5G networks, file e0d6c92e-f780-fcf8-e053-d805fe0aa794
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338
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Scalable Real-time Emulation of 5G Networks with Simu5G, file e0d6c931-8f7b-fcf8-e053-d805fe0aa794
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305
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Modeling unicast device-to-device communications with SimuLTE, file e0d6c927-879c-fcf8-e053-d805fe0aa794
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301
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Using Deep Reinforcement Learning for Application Relocation in Multi-access Edge Computing, file e0d6c92d-7cdb-fcf8-e053-d805fe0aa794
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287
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Modeling X2 backhauling for LTE-Advanced and assessing its effect on CoMP Coordinated Scheduling, file e0d6c927-84b6-fcf8-e053-d805fe0aa794
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181
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Minimizing power consumption in virtualized cellular networks, file e0d6c92a-5341-fcf8-e053-d805fe0aa794
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152
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Geofenced broadcasts via centralized scheduling of device-to-device communications in LTE-Advanced, file e0d6c92c-cd15-fcf8-e053-d805fe0aa794
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143
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Broadcasting in LTE-Advanced networks using multihop D2D communications, file e0d6c927-84bb-fcf8-e053-d805fe0aa794
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137
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Cellular-V2X Communications for Platooning: Design and Evaluation, file e0d6c92a-dff3-fcf8-e053-d805fe0aa794
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117
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Modeling network-controlled device-to-device communications in SimuLTE, file e0d6c92b-54e2-fcf8-e053-d805fe0aa794
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106
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SimuLTE-MEC: extending SimuLTE for Multiaccess Edge Computing, file e0d6c92b-3fcc-fcf8-e053-d805fe0aa794
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101
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A fast and reliable broadcast service for LTE-advanced exploiting multihop device-to-device transmissions, file e0d6c92a-9b98-fcf8-e053-d805fe0aa794
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96
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Simulating device-to-device communications in OMNeT++ with SimuLTE: scenarios and configurations, file e0d6c927-f9d1-fcf8-e053-d805fe0aa794
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58
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D2D Communications for Large-Scale Fog Platforms: Enabling Direct M2M Interactions, file e0d6c92c-6cfc-fcf8-e053-d805fe0aa794
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51
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Towards Trustworthy AI for QoE prediction in B5G/6G Networks, file e0d6c932-450c-fcf8-e053-d805fe0aa794
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49
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Coordinated scheduling in a Virtual-RAN prototype with OpenAirInterface, file e0d6c927-8796-fcf8-e053-d805fe0aa794
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48
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A co-simulation framework to evaluate edge deployment options and performance, file e0d6c92f-0222-fcf8-e053-d805fe0aa794
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45
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Simu5G – An OMNeT++ library for end-to-end performance evaluation of 5G networks, file e0d6c92f-437b-fcf8-e053-d805fe0aa794
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34
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Simulating Cellular Communications in Vehicular Networks: Making SimuLTE Interoperable with Veins, file e0d6c929-e22a-fcf8-e053-d805fe0aa794
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28
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Resource allocation for network-controlled device-to-device communications in LTE-Advanced, file e0d6c92c-75fc-fcf8-e053-d805fe0aa794
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28
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Simulating LTE/LTE-Advanced Networks with SimuLTE, file e0d6c931-d825-fcf8-e053-d805fe0aa794
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26
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Practical feasibility, scalability and effectiveness of coordinated scheduling algorithms in cellular networks towards 5G, file e0d6c92c-aecf-fcf8-e053-d805fe0aa794
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25
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Practical large-scale coordinated scheduling in LTE-Advanced networks, file e0d6c92c-809a-fcf8-e053-d805fe0aa794
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23
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Flexible dynamic Coordinated Scheduling in Virtual-RAN deployments, file e0d6c92c-8062-fcf8-e053-d805fe0aa794
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21
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A Framework for MEC-enabled Platooning, file e0d6c932-11e8-fcf8-e053-d805fe0aa794
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21
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Effective dynamic coordinated scheduling in LTE-Advanced networks, file e0d6c92c-ceef-fcf8-e053-d805fe0aa794
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17
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A testbed for flexible and energy-efficient resource management with virtualized LTE-A nodes, file e0d6c92c-7f08-fcf8-e053-d805fe0aa794
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16
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Deployment and configuration of MEC apps with Simu5G, file e0d6c931-7581-fcf8-e053-d805fe0aa794
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13
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On Improving SimBlock Blockchain Simulator, file e0d6c931-9da4-fcf8-e053-d805fe0aa794
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13
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METHOD AND SYSTEM FOR DATA TUNNELING IN DEVICE TO DEVICE COMMUNICATION ASSISTED BY A TELECOMMUNICATION NETWORK, file e0d6c92a-d195-fcf8-e053-d805fe0aa794
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12
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Performance evaluation of TCP-based traffic over direct communications in LTE-Advanced, file e0d6c92c-7d3f-fcf8-e053-d805fe0aa794
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11
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Automating Large-Scale Simulation and Data Analysis with OMNeT++: Lession Learned and Future Perspectives, file e0d6c927-f69a-fcf8-e053-d805fe0aa794
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10
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D2D Communications for Large-Scale Fog Platforms: Enabling Direct M2M Interactions, file e0d6c92a-8aae-fcf8-e053-d805fe0aa794
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10
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Improving network performance via optimization-based centralized coordination of LTE-A cells, file e0d6c92c-7340-fcf8-e053-d805fe0aa794
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10
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Scalability and energy efficiency of Coordinated Scheduling in cellular networks towards 5G, file e0d6c92c-c384-fcf8-e053-d805fe0aa794
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10
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Fast and agile lossless mode switching for D2D communications in LTE-Advanced networks, file e0d6c92c-7b90-fcf8-e053-d805fe0aa794
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8
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End-to-end performance evaluation of MEC deployments in 5G scenarios, file e0d6c92f-a0a3-fcf8-e053-d805fe0aa794
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6
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Method for scheduling radio resources, file e0d6c92c-7177-fcf8-e053-d805fe0aa794
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5
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Resource allocation for network-controlled device-to-device communications in LTE-Advanced, file e0d6c92c-c397-fcf8-e053-d805fe0aa794
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5
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Method for scheduling radio resources, file e0d6c92c-c4d3-fcf8-e053-d805fe0aa794
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5
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Practical large-scale coordinated scheduling in LTE-Advanced networks, file e0d6c92c-ce8f-fcf8-e053-d805fe0aa794
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5
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Simulating LTE/LTE-Advanced Networks with SimuLTE, file e0d6c926-d3db-fcf8-e053-d805fe0aa794
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4
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A testbed for flexible and energy-efficient resource management with virtualized LTE-A nodes, file e0d6c92c-7159-fcf8-e053-d805fe0aa794
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4
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Practical feasibility, scalability and effectiveness of coordinated scheduling algorithms in cellular networks towards 5G, file e0d6c92c-822b-fcf8-e053-d805fe0aa794
|
4
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A low-latency and reliable multihop D2D transmissions scheduling algorithm for guaranteed message dissemination, file e0d6c931-ad07-fcf8-e053-d805fe0aa794
|
4
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Performance evaluation of TCP-based traffic over direct communications in LTE-Advanced, file e0d6c927-8725-fcf8-e053-d805fe0aa794
|
3
|
|
Scalability and energy efficiency of Coordinated Scheduling in cellular networks towards 5G, file e0d6c929-5e61-fcf8-e053-d805fe0aa794
|
3
|
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Flexible dynamic Coordinated Scheduling in Virtual-RAN deployments, file e0d6c92c-7163-fcf8-e053-d805fe0aa794
|
3
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Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92c-716e-fcf8-e053-d805fe0aa794
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3
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A scalable data-plane architecture for one-to-one device-to-device communications in LTE-Advanced, file e0d6c92c-822d-fcf8-e053-d805fe0aa794
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3
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A Deep Reinforcement Learning Approach for Data Migration in Multi-access Edge Computing, file e0d6c92c-c0c7-fcf8-e053-d805fe0aa794
|
3
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Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92d-5945-fcf8-e053-d805fe0aa794
|
3
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null, file e0d6c92f-3244-fcf8-e053-d805fe0aa794
|
3
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Rapid prototyping and performance evaluation of ETSI MEC-based applications, file 869cc271-d9f7-477f-aaf2-49eb41c604df
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2
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Improving network performance via optimization-based centralized coordination of LTE-A cells, file e0d6c926-4660-fcf8-e053-d805fe0aa794
|
2
|
|
Fast and agile lossless mode switching for D2D communications in LTE-Advanced networks, file e0d6c927-8f15-fcf8-e053-d805fe0aa794
|
2
|
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Minimizing power consumption in virtualized cellular networks, file e0d6c92c-6f7f-fcf8-e053-d805fe0aa794
|
2
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Cellular-Networks Simulation Using SimuLTE, file e0d6c92d-7e6e-fcf8-e053-d805fe0aa794
|
2
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A Framework for MEC-enabled Platooning, file e0d6c92d-fd36-fcf8-e053-d805fe0aa794
|
2
|
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Using Deep Reinforcement Learning for Application Relocation in Multi-access Edge Computing, file e0d6c92e-2c99-fcf8-e053-d805fe0aa794
|
2
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A co-simulation framework to evaluate edge deployment options and performance, file e0d6c930-d3e0-fcf8-e053-d805fe0aa794
|
2
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A low-latency and reliable multihop D2D transmissions scheduling algorithm for guaranteed message dissemination, file e0d6c931-933b-fcf8-e053-d805fe0aa794
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2
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null, file e0d6c931-f8ac-fcf8-e053-d805fe0aa794
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2
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Using network simulators as digital twins of 5G/B5G mobile networks, file 81b47185-ba4d-4267-aa3e-6fd29fc02d4e
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1
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Exploiting Simu5G for Generating Datasets for Training and Testing AI Models for 5G/6G Network Applications, file a44c2797-568a-4818-a58e-075ae0996836
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1
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SimuLTE: A Modular System-level Simulator for LTE/LTE-A Networks based on OMNeT++, file e0d6c926-40a6-fcf8-e053-d805fe0aa794
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1
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Effective dynamic coordinated scheduling in LTE-Advanced networks, file e0d6c926-4300-fcf8-e053-d805fe0aa794
|
1
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Poster: A simulation-based testbed for vehicular collision detection, file e0d6c92a-5143-fcf8-e053-d805fe0aa794
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1
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Broadcasting in LTE-Advanced networks using multihop D2D communications, file e0d6c92c-74ea-fcf8-e053-d805fe0aa794
|
1
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Modeling X2 backhauling for LTE-Advanced and assessing its effect on CoMP Coordinated Scheduling, file e0d6c92c-b129-fcf8-e053-d805fe0aa794
|
1
|
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Modeling unicast device-to-device communications with SimuLTE, file e0d6c92c-ca1c-fcf8-e053-d805fe0aa794
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1
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Simulating LTE-Enabled Vehicular Communications, file e0d6c92d-62f5-fcf8-e053-d805fe0aa794
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1
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Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92f-bebd-fcf8-e053-d805fe0aa794
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1
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Messages Broadcasting Exploiting Device to Device Transmission, file e0d6c92f-c98f-fcf8-e053-d805fe0aa794
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1
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Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92f-e5b8-fcf8-e053-d805fe0aa794
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1
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A Rational Mining Strategy for Proof-of-Work Consensus Algorithms, file e78b43e0-6d51-4164-a80e-19f16dea1b98
|
1
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| Totale |
3644 |