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5G Enabled Dual Vision and Speech Enhancement Architecture for Multimodal Hearing-Aids

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Julkaisussa:Electronics vol. 13, no. 13 (2024), p. 2588
Päätekijä: Ni, Xianpo
Muut tekijät: Yang, Cen, Tyagi, Tushar, Godwin Enemali, Arslan, Tughrul
Julkaistu:
MDPI AG
Aiheet:
Wireless communications
Parallel processing
Accuracy
Performance evaluation
Computer architecture
Reference signals
5G mobile communication
Bandwidths
Hearing loss
Speech processing
Mathematical functions
Older people
Spectrum allocation
Field programmable gate arrays
Orthogonal Frequency Division Multiplexing
Sound
Simulation
Performance enhancement
Signal processing
Network latency
Design
Algorithms
Data transmission
Hearing aids
Demodulation
Radio signals
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Abstrakti:This paper presents the algorithmic framework for a multimodal hearing aid (HA) prototype designed on a Field Programmable Gate Array (FPGA), specifically the RFSOC4*2 AMD FPGA, and evaluates the transmitter performance through simulation studies. The proposed architecture integrates audio and video inputs, processes them using advanced algorithms, and employs the 5G New Radio (NR) communication protocol for uploading the processed signal to the cloud. The core transmission utilizes Orthogonal Frequency Division Multiplexing (OFDM), an algorithm that effectively multiplexes the processed signals onto various orthogonal frequencies, enhancing bandwidth efficiency and reducing interference. The design is divided into different modules such as Sound reference signal (SRS), demodulation reference signal (DMRS), physical broadcast channel (PBCH), and physical uplink shared channel (PUSCH). The modulation algorithm has been optimized for FPGA parallel processing capabilities, making it better suited for the hearing aid requirements for low latency. The optimized algorithm achieves a transmission time of only 4.789 ms and uses fewer hardware resources, enhancing performance in a cost-effective and energy-efficient manner.
ISSN:2079-9292
DOI:10.3390/electronics13132588
Lähde:Advanced Technologies & Aerospace Database