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2020 – today
- 2024
[i3]Giampaolo Cuozzo, Enrico Testi, Salvatore Riolo, Luciano Miuccio, Gianluca Cena, Gianni Pasolini, Luca De Nardis, Daniela Panno, Marco Chiani, Maria-Gabriella Di Benedetto, Enrico Buracchini, Roberto Verdone:
Research Directions and Modeling Guidelines for Industrial Internet of Things Applications. CoRR abs/2410.02610 (2024)- 2023
- [j8]Luciano Miuccio
, Daniela Panno, Salvatore Riolo:
An Energy-Efficient DL-Aided Massive Multiple Access Scheme for IoT Scenarios in Beyond 5G Networks. IEEE Internet Things J. 10(9, May 1): 7936-7959 (2023) - [j7]Luciano Miuccio, Daniela Panno, Salvatore Riolo:
A Flexible Encoding/Decoding Procedure for 6G SCMA Wireless Networks via Adversarial Machine Learning Techniques. IEEE Trans. Veh. Technol. 72(3): 3288-3303 (2023) - [c5]Luciano Miuccio, Salvatore Riolo, Mehdi Bennis, Daniela Panno:
On Learning Intrinsic Rewards for Faster Multi-Agent Reinforcement Learning based MAC Protocol Design in 6G Wireless Networks. ICC 2023: 466-471 - [i2]Luciano Miuccio, Salvatore Riolo, Mehdi Bennis, Daniela Panno:
On Learning Intrinsic Rewards for Faster Multi-Agent Reinforcement Learning based MAC Protocol Design in 6G Wireless Networks. CoRR abs/2302.14765 (2023) - 2022
- [j6]Luciano Miuccio, Daniela Panno, Pietro Pisacane, Salvatore Riolo:
A QoS-aware and channel-aware Radio Resource Management framework for multi-numerology systems. Comput. Commun. 191: 299-314 (2022) - [j5]Luciano Miuccio, Daniela Panno, Salvatore Riolo:
A Wasserstein GAN Autoencoder for SCMA Networks. IEEE Wirel. Commun. Lett. 11(6): 1298-1302 (2022) - [c4]Luciano Miuccio, Salvatore Riolo, Sumudu Samarakoon, Daniela Panno, Mehdi Bennis:
Learning Generalized Wireless MAC Communication Protocols via Abstraction. GLOBECOM 2022: 2322-2327 - [i1]Luciano Miuccio, Salvatore Riolo, Sumudu Samarakoon, Daniela Panno, Mehdi Bennis:
Learning Generalized Wireless MAC Communication Protocols via Abstraction. CoRR abs/2206.06331 (2022) - 2021
- [j4]Luciano Miuccio, Daniela Panno, Salvatore Riolo:
A DNN-based estimate of the PRACH traffic load for massive IoT scenarios in 5G networks and beyond. Comput. Networks 201: 108608 (2021) - [j3]Luciano Miuccio, Daniela Panno, Salvatore Riolo:
A New Contention-Based PUSCH Resource Allocation in 5G NR for mMTC Scenarios. IEEE Commun. Lett. 25(3): 802-806 (2021) - [j2]Salvatore Riolo, Daniela Panno, Luciano Miuccio:
Modeling and Analysis of Tagged Preamble Transmissions in Random Access Procedure for mMTC Scenarios. IEEE Trans. Wirel. Commun. 20(7): 4296-4312 (2021) - [c3]Luciano Miuccio, Daniela Panno, Pietro Pisacane, Salvatore Riolo:
Channel-Aware and QoS-Aware Downlink Resource Allocation for Multi-numerology Based 5G NR Systems. MedComNet 2021: 1-8 - 2020
- [j1]Luciano Miuccio, Daniela Panno, Salvatore Riolo:
Joint Control of Random Access and Dynamic Uplink Resource Dimensioning for Massive MTC in 5G NR Based on SCMA. IEEE Internet Things J. 7(6): 5042-5063 (2020)
2010 – 2019
- 2019
- [c2]Luciano Miuccio, Daniela Panno, Salvatore Riolo:
Joint Congestion Control and Resource Allocation for Massive MTC in 5G Networks Based on SCMA. ConTEL 2019: 1-8 - [c1]Luciano Miuccio, Daniela Panno, Salvatore Riolo:
Dynamic Uplink Resource Dimensioning for Massive MTC in 5G Networks Based on SCMA. EW 2019: 1-6
Coauthor Index
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