Primary-User-Friendly Dynamic Spectrum Anti-Jamming Access: A GAN-Enhanced Deep Reinforcement Learning Approach
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DOI: 10.1109/lwc.2021.3125337
Abstract: This letter studies the problem of deep reinforcement learning (DRL)-based dynamic spectrum anti-jamming access in overlay cognitive radio networks. To prevent secondary user (SU) from interfering with primary user (PU) and being jammed by jammer,… read more here.
Keywords: jamming access; spectrum; spectrum anti; dynamic spectrum ... See more keywords