A cutting-edge research project focused on enhancing wireless communication for high-mobility Vehicular IoT (V-IoT) systems using Orthogonal Time Frequency Space (OTFS) modulation with multi-dimensional signal constellations. The work addresses challenges in 5G/B5G networks, such as Doppler spread and bit error rate (BER) performance, by optimising signal mapping in higher-dimensional spaces.
Key Contributions
Designed N-Dimensional (N-D) signal constellations (e.g., 3D-256QAM) using heuristic optimization to maximize Minimum Euclidean Distance (MED), improving BER at higher modulation orders.
Proposed an ND-OTFS-based V-IoT system compatible with 5G NR, eliminating complex LDPC coding to reduce receiver complexity.
Demonstrated SNR gains of up to 15 dB for 256-QAM in mmWave channels at 500 km/h vehicle speeds.
Validated robustness in diverse channels (EPA, ETU, EVA, mmWave) under extreme Doppler conditions.
Outcomes:
Ch Santosh Reddy, Debarati Sen, Low-Complex, Reliable Multidimensional Orthogonal Time Frequency Space (ND-OTFS) Modulation-Based Communication System,Â
Indian Patent Application No. 202431046217, published on 20-06-2024
United States Patent, Publication No.: 19/022,529, dated 15-01-2025
Ch Santosh Reddy, Debarati Sen, Chetna Singhal, Multi-Dimensional Constellation for OTFS-based Vehicular-IoT in Time-Variant Channel, 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring). Jun 24, 2024. [Paper]