ANALYZING THE PERFORMANCE PARAMETERS OF COGNITIVE RADIO NETWORKS IN THE PRESENCE OF PRIMARY USERS
Keywords:
Abstract
Cognitive Radio Networks (CRNs) have emerged as a promising solution to address the spectrum scarcity problem by enabling opportunistic spectrum access. However, the presence of primary users in the spectrum poses challenges for the performance of CRNs. This study aims to analyze the performance parameters of CRNs in the presence of primary users. The key performance metrics such as throughput, interference, and spectrum sensing accuracy are evaluated in scenarios where primary users are intermittently present in the spectrum. Various techniques and algorithms for spectrum sensing and resource allocation in CRNs are examined to assess their effectiveness in mitigating the interference caused by primary users. The results of the analysis provide insights into the performance trade-offs and potential optimization strategies for CRNs operating in dynamic and heterogeneous spectrum environments.
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