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Found 11 papers, 1 papers with code
Leveraging Large Language Models for DRL-Based Anti-Jamming Strategies in Zero Touch Networks
As the dawn of sixth-generation (6G) networking approaches, it promises unprecedented advancements in communication and automation.
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.
Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition
This article introduces a new method to improve the dependability of millimeter-wave (mmWave) and terahertz (THz) network services in dynamic outdoor environments.
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.
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
New technological advancements in wireless networks have enlarged the number of connected devices.
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.
Large Intelligent Surface Assisted Non-Orthogonal Multiple Access: Performance Analysis
Specifically, we consider a downlink NOMA system, in which data transmission between a base station (BS) and $L$ NOMA users is assisted by an LIS comprising $M$ reflective elements.
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.
Non-Orthogonal Multiple Access in the Presence of Additive Generalized Gaussian Noise
The derived PEP expression is subsequently utilized to derive a union bound on the bit error rate (BER) and to quantify the diversity orders realized by NOMA users in the presence of additive white (AW) GGN.
A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks
To accommodate the stringent requirements of their prospective applications, which are data-driven and defined by extremely low-latency, ultra-reliable, fast and seamless wireless connectivity, research initiatives are currently focusing on a progressive roadmap towards the sixth generation (6G) networks.
