An Efficient Resource Block Scheduling Based Anti-Jamming Method for Securing Next-Generation Communication Systems

This study introduces a robust anti-jamming method in response to the escalating threat of jamming attacks on next- generation communication systems. As contemporary communication systems undertake increasingly critical tasks, safeguarding them against jamming attacks becomes paramount. The proposed methodology initially involves identifying the Radio Blocks (RBs) affected by jamming attacks through Error Vector Magnitude (EVM) vs. RB measurement. Because the RBs represent the frequency domain, this measurement reveals the specific frequencies targeted by the jammer. Subsequently, an RB sharing strategy is proposed that effectively distributes clean and jammed RBs to user equipment (UEs). The strategy prioritizes protecting UEs closest to the jammer by allocating clean RBs and isolating their signals from jammer interference in the frequency domain. Acknowledging the value of RB resources, this research also endeavors to assess jammed RBs, allocating them to UEs farthest from the jammer or, if unfeasible, reducing the data rate to enhance resilience against jamming attacks. The contributions of this study include achieving low-complexity decision making without the need for training, which is particularly advantageous given the low-latency requirements of next-generation communication systems. Furthermore, the proposed approach seamlessly integrates with the existing system architecture by leveraging IQ data obtained from the natural system flow for the necessary EVM measurement. Emphasizing the precious nature of RB resources, this study aims to optimize their utilization, avoid discarding jammed RBs, and explore ways to leverage them efficiently. The simulation results demonstrate that our methodology maintains maximum UE efficiency, even during jamming attacks.