Optimal Energy Resources and Sub-Carrier Allocation for OFDMA Based Dynamic Cognitive Radio

Abstract

OFDMA (Orthogonal frequency division multiple access) is an effective modulation approach for the conventional cognitive radio mechanism and This paper mainly concentrates on energy resource and subcarrier allocation for OFDMA dependent CR-network. The paper major objective is maximizing the transmission rate of unlicensed secondary user's by regulating its energy resource under primary users and adequate interference limit. Primarily, we suggested a resource allocation model dependent on the convex enhancement theory. Later, in virtue to effectively allocate energy resource and sub-carrier at intervals of multiple cognitive secondary-users, we propose joint-subcarrier as well as optimal resource allocation pattern. Simulation outcomes represents, these method can decrease the bit-error rate and constant power allocation from initial base stations as well as guarantees the effective resource allocation regarding secondary-user mechanism under the interference resource and power-constraints.