Mining challenges in large-scale IoT data framework – a machine learning perspective

Mohindru, Gaurav; Mondal, Koushik; Dutta, Paramartha; Banka, Haider

doi:10.1016/b978-0-32-385708-6.00019-9

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…According to previous studies, this approach effectively increased the channel capacity by N times compared with the conventional approach. Based on the statistical properties of the wireless channel and considering the superiority of artificial intelligence neural networks in exploring the transmission channel and receiving information perception, previous studies [11,12] combine neural networks and MIMO to build an artificial intelligence-based MIMO architecture model. This approach can improve the channel conditions and reduce signal distortion due to channel fading and increase the spectral efficiency through channel estimation and symbol discovery.…”

Section: Introductionmentioning

confidence: 99%

Technique for Large-Scale Antenna Beamforming Based on Neural Network

Xie

Guo

JianZhou

2022

Wireless Communications and Mobile Computing

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The commercialization of the fifth-generation technology and the rapid development of Internet of Things technology have made mobile communication networks increasingly complex. Simultaneously, the massive terminal connections have caused serious interference between networks. Large-scale array antennas have become a hot topic of recent studies to improve the wireless transmission characteristics and spectrum resource utilization efficiency. This study was aimed at exploring using large-scale array antennas combined with neural networks in ultradense cells to improve the wireless signal transmission quality. The simulation results showed that the scheme realized not only the wireless signal transmission with a neural network but also the effective recovery of the source signal. Similarly, the application of this scheme effectively reduced the power consumption during signal transmission, the delay, and the interference.

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Section: Introductionmentioning

confidence: 99%