Achieving high throughput is the most important goal of cognitive radio
networks. The main process in cognitive radio is spectrum sensing that
targets getting vacant channels. There are many sensing methods like
matched filter, feature detection, interference temperature and energy
detection which is employed in the proposed system; however, energy
detection suffers from noise uncertainty. In this paper a study of throughput
under noise fluctuation effect is introduced. The work in this paper proposes
multi-channel system; the overall multi-channel throughput is studied under
noise fluctuation effect. In addition, the proficiency of the network has
been examined under different number of channels and sensing time with
noise uncertainty.