CrossRef Open Access 2025

Orthogonal Space-Time Bluetooth System for IoT Communications

Rodrigo Aldana-López Omar Longoria-Gandara Jose Valencia-Velasco Javier Vázquez-Castillo Luis Pizano-Escalante

Abstrak

There is increasing interest in improving the reliability of short-range wireless links in dense IoT deployments, where BLE is widely used due to its low power consumption and robust GFSK modulation. For this purpose, this work presents a novel Orthogonal Space-Time (OST) scheme for transmission and detection of BLE signals while preserving the BLE GFSK waveform and modulation constraints. The proposed signal processing system integrates advanced OST coding techniques with nonlinear GFSK modulation to achieve high-quality communication while maintaining phase continuity. This implies that the standard BLE GFSK modulator and demodulator blocks can be reused, with additional processing introduced only in the multi-antenna encoder and combiner. A detailed theoretical analysis demonstrates the feasibility of employing the Rayleigh fading channel model in BLE communications and establishes the BER performance bounds for various MIMO configurations. Simulations confirm the advantages of the proposed OST-GFSK signal processing scheme, maintaining a consistent performance when compared with OST linear modulation approaches under Rayleigh fading channels. As a result, the proposed IoT-enabling technology integrates the advantages of widely used OST linear modulation with nonlinear GFSK modulation required for BLE.

Penulis (5)

R

Rodrigo Aldana-López

O

Omar Longoria-Gandara

J

Jose Valencia-Velasco

J

Javier Vázquez-Castillo

L

Luis Pizano-Escalante

Format Sitasi

Aldana-López, R., Longoria-Gandara, O., Valencia-Velasco, J., Vázquez-Castillo, J., Pizano-Escalante, L. (2025). Orthogonal Space-Time Bluetooth System for IoT Communications. https://doi.org/10.3390/iot7010002

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.3390/iot7010002
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
CrossRef
DOI
10.3390/iot7010002
Akses
Open Access ✓