MIMO Based Cognitive Radio Network with Efficient Spectrum Utilization
S. M. Patil1, A. J. Patil2
1S. M. Patil*, Department of Electronics and Telecommunication Engineering Government College of Engineering, Jalgaon, Maharashtra, India
2A. J. Patil, Shri Gulabrao Deokar College of Engineering, Jalgaon, Maharashtra, India.
Manuscript received on October 05, 2020. | Revised Manuscript received on October 25, 2020. | Manuscript published on October 30, 2020. | PP: 468-472 | Volume-10 Issue-1, October 2020. | Retrieval Number: 100.1/ijeat.F1540089620 | DOI: 10.35940/ijeat.F1540.1010120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents an energy-efficient power control scheme for Multi-Input–Multi-Output (MIMO) based multi-channel cognitive radio networks (CRNs) with adaptive mode selection protocol. Cognitive radio device operates in the temporal domain to utilize spectrum holes and MIMO system operates in the spatial domain. Thus CRN in collaboration with MIMO can produce a significant improvisation for spectrum utilization, and therefore, the integration of MIMO and CRN has received widespread research interest. To address the challenges of the collaboration of MIMO and CRN, we propose a MIMO based CRN network in this paper, in which basic CRN is modified with the QPSK transmission technique having four antenna elements per primary users (PU) and secondary users (SU). Similarly, MIMO significantly improves channel capacity particularly in SU transmission under low SNR condition, but issues like several antenna elements and specific antenna selection issues increase the computational complexity and energy consumption. The proposed network protocol strives to improve communication stability and rate of throughput via selecting the MIMO operating parameters such as multiplexing, diversity, or hybrid multiplexing-diversity gains. Specifically, we designed transmission power distribution along with an antenna selection scheme for enhancing the energy efficiency of CRN’s under the influence of the maximum interference caused by the SU to PU, utmost power transmission from SU, and the least rate of transmission through the SU link. Finally, the simulation results are compared with basic CRN alone using the BPSK scheme to evaluate and validate the proposed scheme. Keywords: Multi-input–multi-output system, cognitive radio networks, primary users, secondary users and transmission power allocation
Keywords: Shotgun sequencing, Word sense disambiguation, Word embedding, Telugu.