| Nome |
# |
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Simu5G: a system-level simulator for 5G networks, file e0d6c92e-f780-fcf8-e053-d805fe0aa794
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1.073
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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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1.002
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Modeling unicast device-to-device communications with SimuLTE, file e0d6c927-879c-fcf8-e053-d805fe0aa794
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562
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Scalable Real-time Emulation of 5G Networks with Simu5G, file e0d6c931-8f7b-fcf8-e053-d805fe0aa794
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524
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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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374
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Statistically Sound Experiments with OpenAirInterface Cloud-RAN Prototypes, file e0d6c927-7c6d-fcf8-e053-d805fe0aa794
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269
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Mobile-Edge Computing Come Home! Connecting things in future smart homes using LTE device-to-device communications, file e0d6c92c-ad5f-fcf8-e053-d805fe0aa794
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239
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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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202
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A Flexible and Reconfigurable 5G Networking Architecture Based on Context and Content Information, file e0d6c929-693a-fcf8-e053-d805fe0aa794
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193
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SAPIENT-Simulator Modelling and Architecture, file e0d6c929-d8e1-fcf8-e053-d805fe0aa794
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171
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Minimizing power consumption in virtualized cellular networks, file e0d6c92a-5341-fcf8-e053-d805fe0aa794
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166
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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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163
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Broadcasting in LTE-Advanced networks using multihop D2D communications, file e0d6c927-84bb-fcf8-e053-d805fe0aa794
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155
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SAPIENT: enabling real-time monitoring and control in the Future Communication Infrastructure of Air Traffic Management, file e0d6c92e-dde6-fcf8-e053-d805fe0aa794
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153
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Cellular-V2X Communications for Platooning: Design and Evaluation, file e0d6c92a-dff3-fcf8-e053-d805fe0aa794
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137
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Performance Analysis of OpenAirInterface System Emulation, file e0d6c927-740b-fcf8-e053-d805fe0aa794
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125
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SimuLTE-MEC: extending SimuLTE for Multiaccess Edge Computing, file e0d6c92b-3fcc-fcf8-e053-d805fe0aa794
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120
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Modeling network-controlled device-to-device communications in SimuLTE, file e0d6c92b-54e2-fcf8-e053-d805fe0aa794
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119
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Towards Trustworthy AI for QoE prediction in B5G/6G Networks, file e0d6c932-450c-fcf8-e053-d805fe0aa794
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111
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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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108
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null, file e0d6c92b-209c-fcf8-e053-d805fe0aa794
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108
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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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103
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A practical framework for energy-efficient node activation in heterogeneous LTE networks, file e0d6c929-5c2e-fcf8-e053-d805fe0aa794
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96
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Simulating LTE/LTE-Advanced Networks with SimuLTE, file e0d6c931-d825-fcf8-e053-d805fe0aa794
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91
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SESAR EXPLORATORY RESEARCH SAPIENT PROJECT OVERVIEW, file e0d6c929-e0b0-fcf8-e053-d805fe0aa794
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87
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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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87
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Simulating LISP-Based Multilink Communications in Aeronautical Networks, file e0d6c92b-3d29-fcf8-e053-d805fe0aa794
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83
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A comprehensive simulation analysis of LTE Discontinuous Reception (DRX), file e0d6c92c-aec5-fcf8-e053-d805fe0aa794
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78
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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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72
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Effective dynamic coordinated scheduling in LTE-Advanced networks, file e0d6c92c-ceef-fcf8-e053-d805fe0aa794
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69
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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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66
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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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64
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Deployment and configuration of MEC apps with Simu5G, file e0d6c931-7581-fcf8-e053-d805fe0aa794
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62
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A Framework for MEC-enabled Platooning, file e0d6c932-11e8-fcf8-e053-d805fe0aa794
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62
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Practical large-scale coordinated scheduling in LTE-Advanced networks, file e0d6c92c-809a-fcf8-e053-d805fe0aa794
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56
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Coordinated scheduling in a Virtual-RAN prototype with OpenAirInterface, file e0d6c927-8796-fcf8-e053-d805fe0aa794
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54
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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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50
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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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47
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System-level analysis of the tradeoffs between power saving and capacity/QoS with DRX in LTE, file e0d6c926-43a2-fcf8-e053-d805fe0aa794
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44
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A distributed power-saving framework for LTE HetNets exploiting Almost Blank Subframes, file e0d6c92c-b263-fcf8-e053-d805fe0aa794
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38
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Flexible dynamic Coordinated Scheduling in Virtual-RAN deployments, file e0d6c92c-8062-fcf8-e053-d805fe0aa794
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36
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Exploiting LTE D2D communications in M2M Fog platforms: Deployment and practical issues, file e0d6c92c-7b8b-fcf8-e053-d805fe0aa794
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32
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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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26
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Fast and agile lossless mode switching for D2D communications in LTE-Advanced networks, file e0d6c92c-7b90-fcf8-e053-d805fe0aa794
|
24
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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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24
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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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22
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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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21
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End-to-end performance evaluation of MEC deployments in 5G scenarios, file e0d6c92f-a0a3-fcf8-e053-d805fe0aa794
|
16
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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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15
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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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13
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A comprehensive simulation analysis of LTE Discontinuous Reception (DRX), file e0d6c926-43a1-fcf8-e053-d805fe0aa794
|
11
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D2D Communications for Large-Scale Fog Platforms: Enabling Direct M2M Interactions, file e0d6c92a-8aae-fcf8-e053-d805fe0aa794
|
10
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A distributed power-saving framework for LTE HetNets exploiting Almost Blank Subframes, file e0d6c92c-8051-fcf8-e053-d805fe0aa794
|
10
|
|
Mobile-Edge Computing Come Home! Connecting things in future smart homes using LTE device-to-device communications, file e0d6c92c-7d44-fcf8-e053-d805fe0aa794
|
9
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A low-latency and reliable multihop D2D transmissions scheduling algorithm for guaranteed message dissemination, file e0d6c931-ad07-fcf8-e053-d805fe0aa794
|
6
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|
Performance Analysis of OpenAirInterface System Emulation, file e0d6c926-8458-fcf8-e053-d805fe0aa794
|
5
|
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Method for scheduling radio resources, file e0d6c92c-7177-fcf8-e053-d805fe0aa794
|
5
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Method for managing data transmission power in mobile cellular networks, file e0d6c92c-a2e2-fcf8-e053-d805fe0aa794
|
5
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Resource allocation for network-controlled device-to-device communications in LTE-Advanced, file e0d6c92c-c397-fcf8-e053-d805fe0aa794
|
5
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|
Method for scheduling radio resources, file e0d6c92c-c4d3-fcf8-e053-d805fe0aa794
|
5
|
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Practical large-scale coordinated scheduling in LTE-Advanced networks, file e0d6c92c-ce8f-fcf8-e053-d805fe0aa794
|
5
|
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Simulating LTE/LTE-Advanced Networks with SimuLTE, file e0d6c926-d3db-fcf8-e053-d805fe0aa794
|
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
|
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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Method for scheduling radio resources, file e0d6c92f-c5fa-fcf8-e053-d805fe0aa794
|
4
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Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project, file 28e7181d-b7f0-4f79-961c-bcedf84744d8
|
3
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Performance evaluation of TCP-based traffic over direct communications in LTE-Advanced, file e0d6c927-8725-fcf8-e053-d805fe0aa794
|
3
|
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Scalability and energy efficiency of Coordinated Scheduling in cellular networks towards 5G, file e0d6c929-5e61-fcf8-e053-d805fe0aa794
|
3
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Method for managing data transmission power in mobile cellular networks, file e0d6c92c-6157-fcf8-e053-d805fe0aa794
|
3
|
|
METHOD FOR POWER CONSUMPTION OPTIMIZATION IN MOBILE CELLULAR NETWORKS, file e0d6c92c-6244-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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METHOD FOR POWER CONSUMPTION OPTIMIZATION IN MOBILE CELLULAR NETWORKS, file e0d6c92c-a2db-fcf8-e053-d805fe0aa794
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3
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METHOD FOR POWER CONSUMPTION OPTIMIZATION IN MOBILE CELLULAR NETWORKS, file e0d6c92c-a2dc-fcf8-e053-d805fe0aa794
|
3
|
|
A Deep Reinforcement Learning Approach for Data Migration in Multi-access Edge Computing, file e0d6c92c-c0c7-fcf8-e053-d805fe0aa794
|
3
|
|
Method for managing data transmission power in mobile cellular networks, file e0d6c92d-4fca-fcf8-e053-d805fe0aa794
|
3
|
|
Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92d-5945-fcf8-e053-d805fe0aa794
|
3
|
|
null, file e0d6c92f-3244-fcf8-e053-d805fe0aa794
|
3
|
|
Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92f-bebd-fcf8-e053-d805fe0aa794
|
3
|
|
METHOD FOR POWER CONSUMPTION OPTIMIZATION IN MOBILE CELLULAR NETWORKS, file e0d6c92f-eb2d-fcf8-e053-d805fe0aa794
|
3
|
|
Method for managing data transmission power in mobile cellular networks, file e0d6c931-3de2-fcf8-e053-d805fe0aa794
|
3
|
|
null, file e0d6c931-f8ac-fcf8-e053-d805fe0aa794
|
3
|
|
Rapid prototyping and performance evaluation of ETSI MEC-based applications, file 869cc271-d9f7-477f-aaf2-49eb41c604df
|
2
|
|
ePhysio: A Wearables-Enabled Platform for the Remote Management of Musculoskeletal Diseases, file 99a6dfa1-c3ce-47a9-ab49-1b5543facbea
|
2
|
|
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
|
|
Exploiting LTE D2D communications in M2M Fog platforms: Deployment and practical issues, file e0d6c927-9b1f-fcf8-e053-d805fe0aa794
|
2
|
|
Minimizing power consumption in virtualized cellular networks, file e0d6c92c-6f7f-fcf8-e053-d805fe0aa794
|
2
|
|
A Flexible and Reconfigurable 5G Networking Architecture Based on Context and Content Information, file e0d6c92c-7d4a-fcf8-e053-d805fe0aa794
|
2
|
|
Cellular-Networks Simulation Using SimuLTE, file e0d6c92d-7e6e-fcf8-e053-d805fe0aa794
|
2
|
|
A Framework for MEC-enabled Platooning, file e0d6c92d-fd36-fcf8-e053-d805fe0aa794
|
2
|
|
Using Deep Reinforcement Learning for Application Relocation in Multi-access Edge Computing, file e0d6c92e-2c99-fcf8-e053-d805fe0aa794
|
2
|
|
A co-simulation framework to evaluate edge deployment options and performance, file e0d6c930-d3e0-fcf8-e053-d805fe0aa794
|
2
|
|
A low-latency and reliable multihop D2D transmissions scheduling algorithm for guaranteed message dissemination, file e0d6c931-933b-fcf8-e053-d805fe0aa794
|
2
|
|
An Outlook on the Future Marine Traffic Management System for Autonomous Ships, file e0d6c931-ba5c-fcf8-e053-d805fe0aa794
|
2
|
|
Enabling Network and Service Programmability in 6G Mobile Communication Systems, file 55ee3f77-815c-4e3a-ac0d-e6bfdf67d895
|
1
|
|
SimuLTE: A Modular System-level Simulator for LTE/LTE-A Networks based on OMNeT++, file e0d6c926-40a6-fcf8-e053-d805fe0aa794
|
1
|
|
Effective dynamic coordinated scheduling in LTE-Advanced networks, file e0d6c926-4300-fcf8-e053-d805fe0aa794
|
1
|
|
Broadcasting in LTE-Advanced networks using multihop D2D communications, file e0d6c92c-74ea-fcf8-e053-d805fe0aa794
|
1
|
| Totale |
7.788 |