Capacity Impact of Location-Aware Cognitive Sensing

We study Bayesian detection based cognitive sensing and analyze its impact on the capacity in various cases of location information. In a network of one primary and one cognitive users, the cognitive transmitter relies on information about the locations of the primary transmitter and the two receivers to design its optimal sensing threshold. Results show that this location-aware threshold can significantly improve the cognitive user´s capacity, while imposing almost no detrimental effect on the primary user´s capacity. Combined with a priori knowledge of the primary transmission probability, the location information is shown to be beneficial to the cognitive user´s capacity when the primary user is likely to be active. Without the knowledge of the primary transmission probability, location information is beneficial for all range of primary activity.