TY  - JOUR
T1  - 향상된 점프-스테이 알고리즘의 무작위화 개선에 대한 연구
AU  - Théo, Chavatte 
AU  - Kim, Yongchul 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.9.1478
KW  - Cognitive Radio
KW  - Rendezvous Algorithm
KW  - Jump-Stay Algorithm
AB  - Cognitive Radio Networks (CRNs) enable efficient spectrum utilization by allowing Secondary Users (SUs) to dynamically access unused frequency bands while avoiding interference with Primary Users (PUs). A critical challenge in CRNs is achieving rendezvous, which is complicated by asynchrony, dynamic channel availability, and lack of prior coordination. The Enhanced Jump-Stay (EJS) algorithm has been effective in addressing these challenges through deterministic channel hopping, ensuring rendezvous in finite time. However, EJS shows limitations in dynamic or unpredictable environments. To address these challenges, this paper proposes the Randomized Enhanced Jump-Stay (REJS) algorithm, which introduces probabilistic improvements to enhance differflexibility and robustness under challenging conditions. Furthermore, it compares the performance of EJS and REJS in symmetric and asymmetric scenarios, analyzing metrics such as Time to Rendezvous (TTR).
Simulation results demonstrate that while EJS performs exceptionally well in stable environments with multiple common channels, REJS excels in highly constrained conditions. This study highlights the potential for hybrid approaches that adaptively combine EJS and REJS to optimize performance across diverse CRN environments.