Analysis of secondary user selection in collaborative spectrum sensing

Collaborative spectrum sensing with secondary user selection is analyzed in correlated shadowing for the practical cases of imperfect power measurements and noisy secondary links using minimum probability of error rule. Numerical results show that collaborative spectrum sensing with secondary user selection can save up to 60% of overheads at a performance loss of less than 1.0 dB, up to 40% of overheads at a performance loss of less than 0.2 dB, or up to 20% of overheads at little performance loss in most cases examined.