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.
Highlights
The last two decades have seen a drastic rise in the applications of wireless networks
Multi-Input and Multi-Output (MIMO) technology has been adopted in past few years due to its potential to increase the quality of transmission and bandwidth utilization
This is the higher requirement of the least spectrum efficiency is, the superior transmitted power is required in both scheduling methods, which lead to the improve the energy efficiency
Summary
The last two decades have seen a drastic rise in the applications of wireless networks. Multi-Input and Multi-Output (MIMO) technology has been adopted in past few years due to its potential to increase the quality of transmission and bandwidth utilization. In this technique, the transmitter and receiver are operational with several antennas ensuing in diverse propagation routes. To conquer the above network issues, in this paper we develop the energy-efficient scheme for a joint MIMO-based CRN system with an adaptive selection of antenna. The simulation results of our paper show that the energy efficiency of MIMO based CRN are significantly improving due to the antenna selection technique.
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