Mobility

Correlation-Based Sensing for Cognitive Radio Networks: Bounds and Experimental Assessment

Free registration required

Executive Summary

Minimal missed detection rate of primary users is critical for adoption of cognitive radio networks, underlining the need for robust collaborative sensing combined with near-optimal single node detection methods. Although correlation based detection methods potentially provide needed per-node performance improvements for correlated signals, their performance for realistic blind sensing is unclear since the type and extent of correlation may be unknown in practice. Although standard Neymon-Pearson (NP) based detection can be applied when correlation is perfectly known, difficulty arises when the correlation is random, which is the focus of this paper.

  • Format: PDF
  • Size: 680 KB