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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.
Details
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
; Yang, Cen 1 ; Tyagi, Tushar 1 ; Godwin Enemali 2
; Arslan, Tughrul 1 1 School of Engineering, The University of Edinburgh, Edinburgh EH9 3FF, UK;
2 Department of Electrical and Electronics Engineering, Glasgow Caledonian University, Glasgow G4 OBA, UK;