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Found 5 papers, 1 papers with code
Defeating Proactive Jammers Using Deep Reinforcement Learning for Resource-Constrained IoT Networks
However, their robustness against the growing complexity of internet-of-thing (IoT) networks and diverse jamming attacks is still limited.
An Effective Spatial Modulation Based Scheme for Indoor VLC Systems
This scheme enhances the achievable throughput of conventional SM schemes by transmitting higher order complex modulation symbol, which is decomposed into three different parts.
Towards Federated Learning-Enabled Visible Light Communication in 6G Systems
Nevertheless, concerns pertaining to privacy and communication overhead when sharing raw data of the involved clients with a server constitute major bottlenecks in the implementation of centralized ML techniques.
Rate-Splitting Multiple Access: Unifying NOMA and SDMA in MISO VLC Channels
Then, we introduce rate-splitting multiple access (RSMA), which was initially proposed for RF systems and discuss its potentials in VLC systems.
Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting
In particular, space-division multiple access(SDMA) and power-domain non-orthogonal multiple access (NOMA) present promising multiplexing gains for aerial downlink and uplink.
