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Article information
2022 , Volume 27, ¹ 4, p.108-117
Pathan S., Pathak S., Tamboli M., Noonia A.
Particle swarm optimization in the LTE system for symbol detection
This study suggests various ways to improve the performance of mobile terminals at fast speeds, cheap cost, and low power consumption. Indeed, higher rates imply more problematic transmission channels, making receivers’ jobs more onerous. We’re interested in solving the classic problem of detecting a linear mixture of Gaussian noise for LTE telecommunication systems from a noisy observation of an input signal mixed with a known matrix representing the channel’s behavior; we’re looking for the vector that minimizes the Euclidean distance between the noisy output and the noiseless one. The frequency diversity of LTE systems is very high. In this context, we look at the performance of traditional equalizers (ML, ZF, MMSE) in the first part. In the second section, we offer PSO (Particular Swarm Optimization), a detection method with nearoptimal performance in terms of bit error rate BER 10 -3 for SNR of 16 dB, which is extremely close to ML
[full text] [link to elibrary.ru]
Keywords: long-term evolution, maximum likelihood, zero forcing, minimal mean square error, particular swarm optimization, bit error rate, signal-to-noise ratio
doi: 10.25743/ICT.2022.27.4.009
Author(s):
Pathan Siraj
Position: engineer
Office: Amity University Rajasthan
Address: 303006, India, Jaipur
E-mail: sirajpathan404@gmail.com
Pathak Sunil
Associate Professor
Position: Associate Professor
Office: Amity University Rajasthan
Address: 303006, India, Jaipur
E-mail: sunilpath@gmail.com
Tamboli Mujib
Position: Assistent
Office: Anjuman-I-Islams Kalsekar Technical Campus
Address: 410206, India, Panvel
E-mail: mujibtamboli@yahoo.co.in
Noonia Ajit
Position: Assistent
Office: Manipal University
Address: India, Jaipur, Panvel
E-mail: ajit009noonia@gmail.com
References:
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Bibliography link:
Pathan S., Pathak S., Tamboli M., Noonia A. Particle swarm optimization in the LTE system for symbol detection // Computational technologies. 2022. V. 27. ¹ 4. P. 108-117
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