Achievable rates and outage probability of cognitive radio with dynamic frequency hopping under imperfect spectrum sensing

In this study, the authors propose simple methods to evaluate the achievable rates and outage probability of a cognitive radio (CR) link that takes into account the imperfectness of spectrum sensing. In the considered system, the CR transmitter and receiver correlatively sense and dynamically exploit the spectrum pool via dynamic frequency hopping. Under imperfect spectrum sensing, false-alarm and miss-detection occur which cause impulsive interference emerged from collisions due to the simultaneous spectrum access of primary and cognitive users. That makes it very challenging to evaluate the achievable rates. By first examining the static link where the channel is assumed to be constant over time, they show that the achievable rate using a Gaussian input can be calculated accurately through a simple series representation. In the second part of this study, they extend the calculation of the achievable rate to wireless fading environments. To take into account the effect of fading, they introduce a piece-wise linear curve fitting-based method to approximate the instantaneous achievable rate curve as a combination of linear segments. It is then demonstrated that the ergodic achievable rate in fast fading and the outage probability in slow fading can be calculated to achieve any given accuracy level.

The influence of genotype information on psychiatrists' treatment recommendations: more experienced clinicians know better what to ignore

Objectives: To assess if psychiatrists were influenced by a patient’s genetic information, even when the patient’s response to treatment was already known to them. Methods: Sixty-seven psychiatrists were presented with patients' pre and post-treatment scores on the PANSS for two hypothetical treatments for schizophrenia. Psychiatrists were also informed whether the patient possessed a genotype linked to hyper-responsiveness to one of the treatments, and were asked to recommend one of these two treatments. Attribute non-attendance assessed whether the information on genotype influenced psychiatrists' treatment recommendations. Results: Years of experience predicted whether psychiatrists were influenced by the genetic information. Psychiatrists with one year or less of experience had a 46% probability of considering genetic information, while psychiatrists with at least 15 years of experience had a lower probability (7%). Conclusions: Psychiatrists and other clinicians should be cautious about allowing a patient's genetic information to carry unnecessary weight in their clinical decision making.