Abstract
Improved reliability and spectral efficiency are the key goals while designing a wireless system. In recent times, the requirement for high data rate communication links has led to the usage of multiple antenna technology. Wireless communication system using multi antennas equipped with necessary techniques provides improved performance with meager power usage. In the presence of multiple antennas, the signals are transmitted via different paths from the transmitter to the receiver. This exploits diversity and correlation between various channels to overcome fading. USRP 2944R-Universal Software Radio Peripheral hardware from National Instruments is used in this research work to prototype a 2 × 2 MIMO system and explore the optimal behavior occurring in LoS and NLoS channels. The performance of the 2 × 2 MIMO systems is evaluated in terms of signal to noise ratio in different environments using LabVIEW Software Environment.









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Acknowledgements
Sincere thanks to the All India Council for Technical Education (AICTE), New Delhi, Govt. of India, for sanctioning the fund under the scheme MODERNISATION AND REMOVAL OF OBSOLESCENCE (MODROBS) required for the procurement of USRP hardware used in this research work. Also, special thanks to Department of Science and Technology (DST)—Consolidation of University Research for Innovation & Excellence in Women Universities (CURIE) Scheme for providing the funds required to upgrade the LabVIEW software used in this work.
Funding
This research was funded by All India Council for Technical Education (AICTE), New Delhi, Govt. of India, under the scheme MODERNISATION AND REMOVAL OF OBSOLESCENCE (MODROBS), “F.No.9-1 93/IDC/MODROB/Policy-l/2019-20” and “Consolidated University Research for Innovation and Excellence CORE Grant for Women PG College” (DST-CURIE), Department of Science and Technology, Govt. of India, New Delhi, India, “DST/CURIE-PG/2022/71”.
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Shyamala, C., Patil, R.R., Bharathi, R. et al. Realization and Performance Evaluation of a 2 × 2 MIMO System Using USRP 2944. SN COMPUT. SCI. 4, 216 (2023). https://doi.org/10.1007/s42979-022-01649-1
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DOI: https://doi.org/10.1007/s42979-022-01649-1