A micro strip patch antenna with multiple parasitic patches for Cognitive Radio Network applications is presented to enhance the bandwidth. Multiple resonances are used for the design of antenna, with a view to broaden bandwidth. A modified Koch Fractal antenna is imprinted from micro strip radiating patch. A Parasitic Strip line helps to grasp micro hertz communication through antenna. A slotted patch energized by a gap feed was established before with a large angular coverage over a bandwidth of 13.1%. In this paper, it is proposed that multiple parasitic patches are potential for cognitive radio applications where circular patch (CP) covers bandwidth of 85% with radiation pattern for Spectrum Utilization (SU) and CP with meander lines feeding behaves as communication antenna operating at Wireless Local Area Network 802.11y (3.637 GHz). The transceiver in a communication network is powered by Proposed Antenna, to acquire improved energy efficiency of 95.7%. Thus, throughput and SU have been improved, a model of antenna has been fabricated and its radiation patterns, return losses were achieved which shows fine consistency with simulated results.

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In this paper, a Microstrip Patch Antenna (MPA) is about to be designed. A dielectric material known as the substrate is sandwiched between a metallic patch and ground in an MPA. In comparison to the substrate and ground, a patch is smaller in size. The resonant frequency and dielectric constant value affect the size of a microstrip patch antenna. The proposed technology is a multi- input and multi-output microstrip patch antenna technology for wireless communications. The term "multiple inputs and multiple outputs" (MIMO) refers to a wireless technology that transfers more data between the transmitter and receiver at once to speed up data transmission and reduce mistakes. In essence, this idea refers to wireless network technology enabling access points or wireless routers to have many antennas. Simulating all antenna parameters, such as VSWR, balance, efficiencies, far field, and s-parameters, using CST Microwave Studio is the only way to verify the proposed antennas' performance.

Efficient spectrum utilization is a prominent issue in cognitive radio networks. Owing to this, power allocation policies are proposed which underlay cognitive radio networks together among all prime nodes, secondary nodes, eavesdropper and secondary sender powered by renewable energy that is harvested from primary sender to acquire improved energy efficiency to enhance transmission rate, throughput, and Spectrum Utilization (SU). As a result, there is a need for combination of Dynamic Spectrum Access (DSA) algorithm, Artificial Neuron Network (ANN) algorithm which will make an allotment of obtainable network assets for various elements challenging for their resources. The prime objective of this paper is to intend a route control based multi-path Quality Of Service (QoS) and to find substitute paths between Secondary User (SU) source and SU destination fulfilling QoS metrics, specifically providing maximal throughput and minimal delay. In order that primary substitute channels along the paths are used completely to reduce data packets loss by using Network Simulator 2 (NS2) software tool.