The objective of cognitive radio network is to enhance the wireless network spectrum utilization. In such a network, two types of users are enlisted, namely primary user (PU) and secondary user (SU). The PU can access any channel in case of its availability, but SU users have lower priority and can access a channel only when it is unused by PUs. The performance of such a network solely depends on two traffic parameters: probability of false alarm and probability of misdetection. In this paper the performance of such a network is analyzed based on two dimensional Markov chain including those parameters. The main contribution of this paper is to evaluate blocking probability and PU and SU throughput using the state transition chain instead of existing statistical analysis.
Brassica rapa is an important crop of Azad Jammu and Kashmir which is a major source of vegetable and oil. The study was carried out to evaluate the genetic diversity among Brassica rapa germplasm grown in Azad Jammu and Kashmir based on their morphological characters and yield. The present study was carried out in the field of National Institute of Genomics and Advanced Biotechnology (NIGAB), NARC Islamabad from October 2017 to March 2018. The study showed great diversity among the germplasm for days to germination, primary branches, secondary branches, maturity, plant height, number of silique, seeds per silique, yield per plant and 1000 seed weight. The genotypes 026509, 026514 and 026548 showed maximum yield and other better morphological responses, so these genotypes should be used in future to enhance the production of this crop.
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