A New Optimization Technique in Massive MIMO and LSAS using Hybrid Architecture and Channel Estimation Algorithm for 5G Networks

Sheikh, Javaid A.; Mustafa, Farhana; Sidiq, Sumina; Parah, Shabir A.; Bhat, G. Mohiuddin

doi:10.1007/s11277-021-08489-x

Cited by 8 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the MIMO antenna systems significantly improve the reliability and diversity characters of the wireless link [4]. Using OFDM-MIMO in a radio receiver can dramatically reduce the impacts of inter-symbol interference and frequency-selective fading to measurable levels [5]. In addition, the MIMO-OFDM systems can deliver high data speeds, short latency times, and less bit-error range while maintaining low power consumption [6].…”

Section: Introductionmentioning

confidence: 99%

A Novel Intelligent Channel Estimation Strategy for the 5G Wireless Communication Systems

Lakshmi

Vijayalakshmi

Naveena

2023

Wireless Pers Commun

View full text Add to dashboard Cite

Nowadays, the Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) is an important method used in wireless communications, especially in 5G cellular communications. As in a wireless network, the input signals pass through a channel, and the input signal undergoes phase shift, attenuation, and interference. So, the password from the user side and the received signals are not the same. Thus, an effective channel estimator is essential to make cellular communication better. Hence, a novel hybrid technique called Chimp-based CatBoost channel estimation (CbCBCE) was proposed. This technique is the combination of the Chimp optimization algorithm and CatBoost algorithm. The channel parameters are estimated and then reduced using the Chimp optimization algorithm. Finally, the proposed model is validated with the case study. Then, the result of the proposed model was estimated, and it was compared with other existing techniques. It is observed that the outcome of the proposed design is more compared with the other conventional methods. The presented model is executed in the MATLAB platform, and it is proved that the proposed model has high throughput, high energy efficiency, less BER, and a high data transfer rate.

show abstract

Section: Introductionmentioning

confidence: 99%