In order to effectively regulate the existing resources, dynamicspectrum access in cognitive radio needs to adopt the effective resourceallocation strategies. Multimedia applications require large bandwidthand have to meet the delay constraints while maintaining the dataquality. Game theory is emerging as an effective analytical tool for theanalysis of available resources and its allocation. This paper addressesresource allocation schemes employing bargaining game model forMulti-carrier CDMA based Cognitive Radio. Resource allocationscheme is designed for transmission of video over cognitive radionetworks and aim to perform bandwidth allocation for differentcognitive users. Utility function based on bargaining model is proposed.Primary user utility function includes the pricing factor and an upbeatfactor that can be adjusted by observing the delay constraints of thevideo. Allocated bandwidth to the secondary user can be adjusted bychanging the upbeat factor. Throughput in the proposed scheme isincreased by 2% as compared to other reported pricing based resourceallocation schemes. The edge PSNR of reconstructed video obtained as32.6dB resulting to optimum decoding of the video at the receiver. Thestudy also shows upbeat factor can be used to enhanced capacity of thenetwork.