Unveiling the Channel Capacity Dynamics in Massive Multiuser MIMO Environments

Authors

  • Vaibhav S. Yavalkar, Rajesh Kanja, Sameer Nanivadekar

Keywords:

Massive Multiuser MIMO, Wireless Communication, Channel Capacity, Signal-to-Noise Ratio, Spatial Diversity, User Diversity.

Abstract

This study investigates channel capacity dynamics in Massive Multiuser MIMO environments, employing theoretical calculations and practical simulations. We analyze SISO, MIMO 2x2, MIMO 4x4, and Massive MIMO systems with 10,000 users across varying SNR levels. Results demonstrate that Massive MIMO systems significantly outperform traditional configurations, achieving channel capacities up to five times higher than single-antenna systems. The research reveals that channel capacity in MIMO systems increases with SNR, with more pronounced gains for systems with more antennas. At higher SNR levels, Massive MIMO systems show capacity saturation, highlighting their ability to leverage spatial and user diversity effectively. The study provides insights into the transformative potential of Massive MIMO technology for future wireless networks, paving the way for unprecedented data rates and spectral efficiency. These findings contribute to the ongoing evolution of wireless communication systems, addressing the growing demands of our increasingly connected world.

Downloads

Download data is not yet available.

References

T. Mshvidobadze, "Evolution mobile wireless communication and lte networks," in 2012 6th international conference on Application of information and communication technologies (AICT), pp. 1–7, IEEE, 2012.

M. Agiwal, A. Roy, and N. Saxena, "Next generation 5g wireless networks: A comprehensive survey," IEEE communications surveys & tutorials, vol. 18, no. 3, pp. 1617–1655, 2016.

V. Gunasekaran and F. C. Harmantzis, "Emerging wireless technologies for developing countries," Technology in society, vol. 29, no. 1, pp. 23–42, 2007.

M. Latva-Aho, K. Lepp¨anen, et al., "Key drivers and research challenges for 6g ubiquitous wireless intelligence," 2019.

S. A. Busari, K. M. S. Huq, S. Mumtaz, L. Dai, and J. Rodriguez, "Millimeter-wave massive mimo communication for future wireless systems: A survey," IEEE Communications Surveys & Tutorials, vol. 20, no. 2, pp. 836–869, 2017.

F. Olaloye, S. Misra, E. Adetiba, and J. Oluranti, "A systematic review on the deployment of massive multiple-input-multiple-output (mimo) in next-generation wireless systems: challenges and prospects," in Information Systems and Management Science: Conference Proceedings of 3rd International Conference on Information Systems and Management Science (ISMS) 2020, pp. 118–131, Springer, 2022.

M. Sternad, T. Ottosson, A. Ahl´en, and A. Svensson, "Attaining both coverage and high spectral efficiency with adaptive ofdm downlinks," in 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No. 03CH37484), vol. 4, pp. 2486–2490, IEEE, 2003.

M. Di Renzo, H. Haas, A. Ghrayeb, S. Sugiura, and L. Hanzo, "Spatial modulation for generalized mimo: Challenges, opportunities, and implementation," Proceedings of the IEEE, vol. 102, no. 1, pp. 56–103, 2013.

M. Shoaib, G. Husnain, N. Sayed, and S. Lim, "Unveiling the 5g frontier: Navigating challenges, applications, and measurements in channel models and implementations," IEEE Access, 2024.

Pramod Kharade, Sachin Takmare, Dr. Mukesh Shrimali, Dr. Rahul Ambekar "Transforming Farming with CNNs: Accurate Crop and Weed Classification" International Journal of Intelligent Systems and Applications in Engineering (IJISAE) Volume 12, Issue 4, 2024. ISSN:2147-6799 (Page No: 1484–1490)

Z. Xu, "M-mimo map based positioning in wireless networks," 2021.

Z. Wang, J. Zhang, H. Du, E. Wei, B. Ai, D. Niyato, and M. Debbah, "Extremely large-scale mimo: Fundamentals, challenges, solutions, and future directions," IEEE Wireless Communications, 2023.

M. A. M. Moqbel, W. Wangdong, and A.-m. Z. Ali, "Mimo channel estimation using the ls and mmse algorithm," IOSR J. Electron. Commun. Eng, vol. 12, no. 1, pp. 13–22, 2017.

S. A. Khwandah, J. P. Cosmas, P. I. Lazaridis, Z. D. Zaharis, and I. P. Chochliouros, "Massive mimo systems for 5g communications," Wireless Personal Communications, vol. 120, no. 3, pp. 2101–2115, 2021.

H. A. Le, T. Van Chien, T. H. Nguyen, H. Choo, and V. D. Nguyen, "Machine learning-based 5g-and-beyond channel estimation for mimo-ofdm communication systems," Sensors, vol. 21, no. 14, p. 4861, 2021.

Sachin Takmare, Dr. Mukesh Shrimali, Dr. Rahul Ambekar "Estimating Crop and Weed Density Using YOLO for Precision Agriculture" International Journal of Environmental & Agriculture Research (IJOEAR) Volume 6, Issue 10, 2024. ISSN: 2454-1850 (Page No: 14-25)

Downloads

Published

22.08.2024

How to Cite

Vaibhav S. Yavalkar. (2024). Unveiling the Channel Capacity Dynamics in Massive Multiuser MIMO Environments. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 2852–2858. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6768

Issue

Section

Research Article