Priority Based Dynamic Resource Allocation in MIMO Cognitive Radio Networks

Abstract

The cognitive radio (CR) technology is a developing innovation and offers prominent solution to serious scarcity of spectrum and radio resources in today's situation. Multi-Input and Multi-Output cognitive radio networks (MIMO-CRN) comprise primary users (PUs) and secondary users (SUs) to cooperatively relay the primary traffic. It is extremely complicated to assign channel allocation and resources distribution in heterogeneous networks. The channel selection of SUs should fulfill rate and delay constraints of respective SUs. To overcome this issue we can formulate an efficient dynamic resource allocation technique which should uses very reliable nodes for efficient data transmission. The resources are allocated dynamically after ensuring that the nodes fulfill the specified constraints. This proposed framework should leads to effective data transmission and offer significant network throughput performance by comparing with the existing DRA-CRN algorithm and the simulation results shows that 27% more efficient than existing DSA-CRN algorithm. Furthermore limits the interference at PUs and it should avoid collision.