5G Multi-Carrier MIMO-OFDM Systems using Time Frequency Joint Channel Estimation Technique

Authors

  • Navneet Kumar, Prof. Amrita Khera

Keywords:

Massive MIMO, Channel State Information, Square Root-Recursive Least Square (QR-RLS), QAM Modulation

Abstract

The fifth generation of mobile communication systems (5G) promises unprecedented levels of connectivity and quality of service (QoS) to satisfy the incessant growth in the number of mobile smart devices and the huge increase in data demand. One of the primary ways 5G network technology will be accomplished is through network densification, namely increasing the number of antennas per site and deploying smaller and smaller cells. Massive MIMO, where MIMO stands for multiple-input multiple-output, is widely expected to be a key enabler of 5G. Further improvement of the performances of such systems is critical to practical applications and is achieved by the use of some intelligent algorithms proposed based on local optimization, defining fitness function and object function. Such intelligent algorithms can solve the optimization problems, such as calculating the maximum value or the minimum value of a function in a solution space. In signal detection, an intelligent algorithm takes the maximum likelihood function as the objective function, and the solution space are all possible transmit signal vectors.

References

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How to Cite

Navneet Kumar, Prof. Amrita Khera. (2022). 5G Multi-Carrier MIMO-OFDM Systems using Time Frequency Joint Channel Estimation Technique . International Journal of Research & Technology, 10(3), 1–5. Retrieved from https://ijrt.org/j/article/view/270

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