Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Journal	IEEE Transactions on Vehicular Technology
DOIs	https://doi.org/10.1109/TVT.2022.3212966
Publication status	Published - 2023

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title = "Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach",

author = "H. Sharma and N. Kumar and R. Tekchandani",

year = "2023",

doi = "10.1109/TVT.2022.3212966",

language = "Undefined/Unknown",

journal = "IEEE Transactions on Vehicular Technology",

issn = "0018-9545",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach

AU - Sharma, H.

AU - Kumar, N.

AU - Tekchandani, R.

PY - 2023

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U2 - 10.1109/TVT.2022.3212966

DO - 10.1109/TVT.2022.3212966

M3 - Article

SN - 0018-9545

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

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