Study on cooperative sensing based on miss detection criteria

Spectrum sensing can be used for determining if opportunistic spectrum use by secondary users is allowable meaning that the usage does not cause harmful interference to the primary user. We investigate an energy based cooperative sensing technique. False alarms refer to determining that the opportunistic spectrum use is not allowable though actually it is allowable. Conventional sensing methods are designed to satisfy a predetermined false alarm P_FA corresponding to a certain amount of lost transmission opportunities. Miss probability P_M refers to determining the opportunistic spectrum use is allowable though actually it is not allowable. For secondary users in the cognitive radio networks, P_M is more important as it is related to the interference caused to the primary user by secondary users. Therefore, we will require that P_M is less than some limit. It is difficult to always satisfy a required PM since secondary user should know the received signal level of primary user. We use a new hypothesis model and employ a locally most powerful (LMP) criteria to satisfy the required P_M at the decision border. This corresponds to optimizing performance at the worst possible scenario from primary userpsilas viewpoint. A probability density function of the test statistic of the proposed detector is derived analytically. By computer simulation results, we have shown that P_M can be satisfied at the border.