Stochastic Gradient-Based LMS Algorithm for Reliable and Adaptive 5G Systems

This paper explores the use of the Least Mean Squares (LMS) algorithm, based on stochastic gradient descent, for implementation in adaptive beamforming systems in 5G millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems. An 8 -element array designed for use at 28 GHz is integrated w...

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Vydáno v:International Conference on Electronics, Computers and Artificial Intelligence (Online) s. 1 - 10
Hlavní autoři: Kouki, Adel, Ghayoula, Ridha, Latrach, Lassaad, Ayed, Leila Ben, Fattahi, Jaouhar, Mejri, Mohamed
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 26.06.2025
Témata:
5G communications
5G mobile communication
Adaptive arrays
Adaptive filtering
Adaptive systems
Antenna radiation patterns
Array signal processing
Beamforming
Filtering
Heuristic algorithms
LMS algorithm
Lowcomplexity algorithms
Millimeter wave communication
Real-time systems
Stochastic gradient descent
Stochastic processes
Vehicle dynamics
ISSN:2688-0253
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Shrnutí:This paper explores the use of the Least Mean Squares (LMS) algorithm, based on stochastic gradient descent, for implementation in adaptive beamforming systems in 5G millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems. An 8 -element array designed for use at 28 GHz is integrated with the LMS algorithm to give the radiation beam dynamic steering capability in multiple directions during operation. The mathematics of the LMS algorithm is demonstrated before applying this to lead to optimization and full-wave electromagnetic validation of the LMS applied to a patch antenna array prototype built with a RO4003C substrate. Simulated results show its success to achieve solid beam steering capability with increased directivity and sidelobe suppression over four different steering angles of 0^{\circ}, \pm 30^{\circ} , and \pm 60^{\circ} . The results presented in this paper demonstrate the algorithm's potential for near-realtime spatial filtering and spectral efficiency enhancement for massive MIMO implementations and exhibit robust performance, fulfilling the requirements for next generation communication systems in a dynamic and high-performance way.
ISSN:2688-0253
DOI:10.1109/ECAI65401.2025.11095529