Refine your search
Collections
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Harini, C.
- Advancement in Localization Techniques Using Precoders for Ultra Wide-band Systems
Abstract Views :35 |
PDF Views:1
Authors
Affiliations
1 Department of Electronics and Communication Engineering, SRM Valliammai Engineering College, IN
2 Department of Electronics and Communication Engineering, Christu Jyothi Institute of Technology and Science, IN
3 Department of Electronics and Communication Engineering, Malla Reddy Engineering College, IN
4 Department of Electrical and Electronics Engineering, University of Technology and Applied Sciences, OM
1 Department of Electronics and Communication Engineering, SRM Valliammai Engineering College, IN
2 Department of Electronics and Communication Engineering, Christu Jyothi Institute of Technology and Science, IN
3 Department of Electronics and Communication Engineering, Malla Reddy Engineering College, IN
4 Department of Electrical and Electronics Engineering, University of Technology and Applied Sciences, OM
Source
ICTACT Journal on Communication Technology, Vol 14, No 3 (2023), Pagination: 2982-2987Abstract
In the era of rapidly expanding wireless communication systems, the demand for high-performance, low-latency, and energy-efficient solutions is paramount. One technology that has emerged as a transformative force in addressing these requirements is Massive Multiple-Input Multiple-Output (Massive MIMO) precoding. This abstract delves into the key aspects of Massive MIMO precoding, highlighting its role in enhancing spectral efficiency, mitigating interference, and improving the overall performance of wireless networks. Massive MIMO precoding leverages a substantial number of antennas at the transmitter, allowing for the creation of highly focused spatial beams. These beams can be dynamically optimized to cater to the specific requirements of individual users or devices, maximizing the spectral efficiency by spatially multiplexing multiple streams. This technique offers significant advantages in terms of increasing network capacity and achieving higher data rates, especially in dense network scenarios. Furthermore, Massive MIMO precoding excels in interference mitigation. By spatially directing signals toward intended recipients and steering nulls towards interferers, it reduces the impact of co-channel interference, enhancing network reliability and quality of service. This is particularly valuable in scenarios where network congestion and interference pose significant challenges, such as urban environments and crowded event venues. The research delves into the role of Massive MIMO precoding in improving the signal-to-noise ratio, which directly translates to extended coverage areas and reduced power consumption. Additionally, we explore the implications of Massive MIMO precoding in enabling efficient communication in massive Internet of Things (IoT) deployments and its potential for 5G and beyond. Massive MIMO precoding is poised to reshape the wireless communication landscape. It promises to deliver unprecedented gains in spectral efficiency, interference management, and energy efficiency. As the demand for high-speed, reliable, and ubiquitous connectivity continues to surge, this research plays the pivotal role that Massive MIMO precoding plays in meeting these demands, ushering in a new era of wireless communication.Keywords
Precoding, Massive MIMO, Spectral Efficiency, Interference Mitigation, Wireless Communication.
References
- M. Sakai, Y. Murata and Y. Okumura, “Experimental Field Trials on MU-MIMO Transmissions for High SHF Wide-Band Massive MIMO in 5G”, IEEE Transactions on Wireless Communications, Vol. 19, No. 4, pp. 2196-2207, 2020.
- K. Sakthisudhan and P.N.S. Sailaja, “Textile EF Shaped Antenna based on Reinforced Epoxy for Breast Cancer Detection by Composite Materials”, Materials Today: Proceedings, Vol. 45, pp. 6142-6148, 2021.
- H. Sarieddeen and T.Y. Al-Naffouri, “An Overview of Signal Processing Techniques for Terahertz Communications”, Proceedings of the IEEE, Vol. 109, No. 10, pp. 1628-1665, 2021.
- V. Saravanan and H.P. Sultana, “Design of Deep Learning Model for Radio Resource Allocation in 5G for Massive IoT Device”, Sustainable Energy Technologies and Assessments, Vol. 56, pp. 103054-103063, 2023.
- R.A. Raja and B. Vijayalakshmi, “Improved Spectral Efficiency in Massive MIMO Ultra-Dense Networks through Optimal Pilot-Based Vector Perturbation Precoding”, Optik, Vol. 273, pp. 170370-170381, 2023.
- M. Dzunda, P. Korba and M. Hovanec, “The UWB Radar Application in the Aviation Security Systems”, Applied Sciences, Vol. 11, No. 10, pp. 4556-4565, 2021.
- Y. Bakhuraisa and F. Mustakim, “A Survey of Ranging Techniques for Vehicle Localization in Intelligence Transportation System: Challenges and Opportunities”, International Journal of Electrical and Computer Engineering, Vol. 12, No. 6, pp. 6248-6255, 2022.
- L.H. Shen, K.T. Feng and L. Hanzo, “Five Facets of 6G: Research Challenges and Opportunities”, ACM Computing Surveys, Vol. 55, No. 11, pp. 1-39, 2023.
- S.E. Trevlakis, K. Ntontin and M. Di Renzo, “Localization as a Key Enabler of 6G Wireless Systems: A Comprehensive Survey and an Outlook”, Proceedings of International Conference on Wireless Communications and Systems, pp. 1-5, 2023.
- M.M. Khan and R.H. Ashique, “A Review on Machine Learning and Deep Learning for Various Antenna Design Applications”, Heliyon, Vol. 8, No. 4, pp. 1-13, 2022.
- S.N. Sur, A.K. Singh, A. Silva and N.D. Nguyen, “Intelligent Reflecting Surface Assisted Localization: Opportunities and Challenges”, Electronics, Vol. 11, No. 9, pp. 1411-1418, 2022.
- C. Zhang and A. Burg, “Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 10, No. 2, pp. 149-163, 2020.
- P. Prakash and G. Manoj, “IoT Based Localization and Tracking by using MIMO Antenna Technology”, Proceedings of International Conference on Signal Processing and Communication, pp. 77-86, 2023.