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Peyman Tehrani
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2020 – today
- 2021
- [c4]Peyman Tehrani, Francesco Restuccia, Marco Levorato:
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. DySPAN 2021: 248-253 - [i5]Peyman Tehrani, Francesco Restuccia, Marco Levorato:
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. CoRR abs/2112.03465 (2021) - 2020
- [c3]Sabur Baidya
, Peyman Tehrani, Marco Levorato:
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. ICC Workshops 2020: 1-6 - [c2]Peyman Tehrani, Marco Levorato:
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. SmartGridComm 2020: 1-6 - [i4]Sabur Baidya, Peyman Tehrani, Marco Levorato:
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. CoRR abs/2004.01300 (2020) - [i3]Peyman Tehrani, Marco Levorato:
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. CoRR abs/2009.06825 (2020)
2010 – 2019
- 2018
- [i2]Peyman Tehrani, Farshad Lahouti, Michele Zorzi:
Resource Allocation in Heterogenous Full-duplex OFDMA Networks: Design and Analysis. CoRR abs/1802.03012 (2018) - 2016
- [j1]Mohammad Robat Mili
, Peyman Tehrani, Mehdi Bennis
:
Energy-Efficient Power Allocation in OFDMA D2D Communication by Multiobjective Optimization. IEEE Wirel. Commun. Lett. 5(6): 668-671 (2016) - [c1]Peyman Tehrani, Farshad Lahouti, Michele Zorzi:
Resource allocation in OFDMA networks with half-duplex and imperfect full-duplex users. ICC 2016: 1-6 - [i1]Peyman Tehrani, Farshad Lahouti, Michele Zorzi:
Resource allocation in OFDMA networks with half-duplex and imperfect full-duplex users. CoRR abs/1605.01947 (2016)
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