| Nome |
# |
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Architectures, standardisation, and procedures for 5G Satellite Communications: A survey, file c815fce2-3b09-4fee-ae63-fe84fce4c0c2
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346
|
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Architectures and Key Technical Challenges for 5G Systems Incorporating Satellites, file e1dcb339-7bc1-7715-e053-1705fe0a6cc9
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131
|
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Cognitive approaches to enhance spectrum availability for satellite systems, file e1dcb339-a63e-7715-e053-1705fe0a6cc9
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91
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Capacity Statistics Evaluation for Next Generation Broadband MEO Satellite Systems, file e1dcb339-05c6-7715-e053-1705fe0a6cc9
|
90
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null, file e1dcb338-d49f-7715-e053-1705fe0a6cc9
|
58
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Capacity of interference exploitation schemes in multibeam satellite systems, file e1dcb339-a156-7715-e053-1705fe0a6cc9
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58
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Cognitive spectrum utilization in Ka band multibeam satellite communications, file e1dcb339-7f6d-7715-e053-1705fe0a6cc9
|
47
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Introducing the QEST broker: Scaling the IoT by bridging MQTT and REST, file e1dcb32c-04eb-7715-e053-1705fe0a6cc9
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35
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DVB-S2X-enabled precoding for high throughput satellite systems, file e1dcb339-80ae-7715-e053-1705fe0a6cc9
|
32
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Future trends in broadband satellite communications: information centric networks and enabling technologies, file 8bc6846d-1072-43a2-be46-22253032b6e7
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24
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Continuous phase modulation for broadband satellite communications: design and trade-offs, file e1dcb32c-4aaf-7715-e053-1705fe0a6cc9
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21
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Cooperative Multi-Agent Deep Reinforcement Learning for Resource Management in Full Flexible VHTS Systems, file e1dcb339-b3d3-7715-e053-1705fe0a6cc9
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21
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Payload aspects of mobile satellite systems with on-ground beamforming and interference cancellation, file e1dcb32c-4b25-7715-e053-1705fe0a6cc9
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16
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Supervised machine learning for power and bandwidth management in very high throughput satellite systems, file e1dcb337-daaa-7715-e053-1705fe0a6cc9
|
16
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Location-assisted precoding in 5G LEO systems: architectures and performances, file 83d9fc2f-332c-44d7-ba57-cb7f8b6149f5
|
11
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Guest editorial IJSCN special issue on ASMS/SPSC 2014, file e1dcb32e-c00f-7715-e053-1705fe0a6cc9
|
10
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Adaptive coding and modulation techniques for mobile satellite communications: A state estimation approach, file e1dcb32c-3618-7715-e053-1705fe0a6cc9
|
9
|
|
OFDM Channel Estimation Based on Impulse Response Decimation:
Analysis and Novel Algorithms, file e1dcb32c-31b1-7715-e053-1705fe0a6cc9
|
8
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Convolutional Neural Networks for Flexible Payload Management in VHTS Systems, file e1dcb337-c2ea-7715-e053-1705fe0a6cc9
|
7
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Coded SC-FDMA for Broadband Satellite Return Links, file e1dcb32c-04e7-7715-e053-1705fe0a6cc9
|
6
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Hybrid Space-Ground Processing for High-Capacity Multi-Beam Satellite Systems, file e1dcb32c-4b1f-7715-e053-1705fe0a6cc9
|
6
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On-Ground Beamforming and Interference Cancellation for next generation mobile systems, file e1dcb32c-4b27-7715-e053-1705fe0a6cc9
|
6
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Evaluation of multi-user multiple-input multiple-output digital beamforming algorithms in B5G/6G low Earth orbit satellite systems, file 6716d34e-bdf1-4dfd-a510-6e8c4d9bcc50
|
5
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Multi-Gateway Interference Cancellation techniques for the Return Link of Multi-Beam Broadband Satellite Systems, file e1dcb32c-04e3-7715-e053-1705fe0a6cc9
|
5
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PSNR Evaluation and Alignment Recovery for
Mobile Satellite Video Broadcasting, file e1dcb32c-04e8-7715-e053-1705fe0a6cc9
|
5
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Density-Aware Smart Grid Node Allocation in Heterogeneous Radio Access Technology Environments, file e1dcb333-c87d-7715-e053-1705fe0a6cc9
|
5
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null, file e1dcb337-6cd3-7715-e053-1705fe0a6cc9
|
5
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Multi-user interference mitigation techniques for broadband multi-beam satellite systems, file e1dcb32b-ba24-7715-e053-1705fe0a6cc9
|
4
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Throughput distribution analysis of return link multi-gateway interference cancellation strategies for multi-beam broadband satellite systems2012 IEEE Globecom Workshops, file e1dcb32c-4b28-7715-e053-1705fe0a6cc9
|
4
|
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Energy Efficient CPM Waveforms for Satellite Mesh Networks, file e1dcb32c-04e4-7715-e053-1705fe0a6cc9
|
3
|
|
Cognitive hybrid satellite-terrestrial systems, file e1dcb32c-2662-7715-e053-1705fe0a6cc9
|
3
|
|
Satellite communications, file e1dcb32e-c650-7715-e053-1705fe0a6cc9
|
3
|
|
Capacity Statistics Evaluation for Next Generation Broadband MEO Satellite Systems, file e1dcb335-bf54-7715-e053-1705fe0a6cc9
|
3
|
|
Capacity of interference exploitation schemes in multibeam satellite systems, file e1dcb336-a3c8-7715-e053-1705fe0a6cc9
|
3
|
|
Improved Graph-Based User Scheduling For Sum-Rate Maximization in LEO-NTN Systems, file 0ab7acd8-f252-4ddf-baf7-c725e0c9b691
|
2
|
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Graph-Based User Scheduling Algorithms for LEO-MIMO Non-Terrestrial Networks, file 331bf9c1-eace-42e0-8805-d0d76e12bfd9
|
2
|
|
Clustering strategies for multicast precoding in multibeam satellite systems, file 37a12800-a9f3-4a15-9f0f-02d153415c01
|
2
|
|
O-RAN based Non-Terrestrial Networks: Trends and Challenges, file b55028d3-f08c-4731-b6a6-72b469dfd50e
|
2
|
|
Analysis of a State Based Approach for Adaptive Coding and Modulation in Mobile Satellite Environments, file e1dcb32c-2b8c-7715-e053-1705fe0a6cc9
|
2
|
|
Cognitive spectrum utilization in Ka band multibeam satellite communications, file e1dcb32d-4dbc-7715-e053-1705fe0a6cc9
|
2
|
|
Genetic inspired scheduling algorithm for cognitive satellite systems, file e1dcb32e-4a1a-7715-e053-1705fe0a6cc9
|
2
|
|
Integration of Satellites in 5G through LEO Constellations, file e1dcb330-30e8-7715-e053-1705fe0a6cc9
|
2
|
|
LTE-based satellite communications in LEO mega-constellations, file e1dcb331-809f-7715-e053-1705fe0a6cc9
|
2
|
|
On the Use of Neural Networks for Flexible Payload Management in VHTS Systems, file e1dcb335-ac1d-7715-e053-1705fe0a6cc9
|
2
|
|
null, file e1dcb337-a5d0-7715-e053-1705fe0a6cc9
|
2
|
|
null, file e1dcb337-b256-7715-e053-1705fe0a6cc9
|
2
|
|
Cognitive approaches to enhance spectrum availability for satellite systems, file e1dcb339-80af-7715-e053-1705fe0a6cc9
|
2
|
|
Supervised machine learning for power and bandwidth management in very high throughput satellite systems, file f9863de5-c6ed-4990-af5f-92b34af9ac87
|
2
|
|
Analysis of Graph-based User Scheduling For Ka-Band LEO NTN Systems, file 06da5b57-e1cf-4e21-96a7-5fcb3700425a
|
1
|
|
A Novel Twofold Approach to Enhance NB-IoT MAC Procedure in NTN, file 0b790812-3d53-45b9-9d16-60645d8040cf
|
1
|
|
Role and Evolution of Non-Terrestrial Networks towards 6G systems, file 339be79a-5e36-44cc-b4dd-9d58d8c6cf19
|
1
|
|
null, file 3bf58a95-4e54-4ffc-80d0-c1ec7d27fd8a
|
1
|
|
NB-IoT random access procedure via NTN: system level performances, file 50e1638a-b67f-4cf2-ab61-a541a792391e
|
1
|
|
Location-assisted precoding in 5G LEO systems: architectures and performances, file 636b7d3f-3dda-4722-be7c-7eb0df1a05bf
|
1
|
|
Coarse Beamforming Techniques for Multi-Beam Satellite Networks, file e1dcb32b-ba21-7715-e053-1705fe0a6cc9
|
1
|
|
Cognitive Radio Scenarios for Satellite Communications: The CoRaSat Approach, file e1dcb32c-4472-7715-e053-1705fe0a6cc9
|
1
|
|
Non-Terrestrial Networks: Link Budget Analysis, file e1dcb335-c1c8-7715-e053-1705fe0a6cc9
|
1
|
|
Architectures, standardisation, and procedures for 5G Satellite Communications: A survey, file e1dcb335-cda6-7715-e053-1705fe0a6cc9
|
1
|
|
NB-IoT over Non-Terrestrial Networks: Link Budget Analysis, file e1dcb336-d052-7715-e053-1705fe0a6cc9
|
1
|
|
Architectures and Key Technical Challenges for 5G Systems Incorporating Satellites, file e1dcb339-7bc0-7715-e053-1705fe0a6cc9
|
1
|
|
DVB-S2X-enabled precoding for high throughput satellite systems, file e1dcb339-80ad-7715-e053-1705fe0a6cc9
|
1
|
|
Cooperative Multi-Agent Deep Reinforcement Learning for Resource Management in Full Flexible VHTS Systems, file e1dcb339-ca5c-7715-e053-1705fe0a6cc9
|
1
|
| Totale |
1.139 |