Computer Sciences and Information Technology
Title : | Development of spectrally efficient low complexity fast sparse channel estimation algorithms for orthogonal time frequency space (OTFS) modulation scheme. |
Area of research : | Computer Sciences and Information Technology |
Focus area : | Communication Engineering |
Principal Investigator : | Dr. Himanshu Bhusan Mishra, Indian Institute Of Technology (Indian School Of Mines) IIT(ISM) Dhanbad, Jharkhand |
Timeline Start Year : | 2023 |
Timeline End Year : | 2026 |
Contact info : | himanshu@iitism.ac.in |
Details
Executive Summary : | The orthogonal-time-frequency-space (OTFS) modulation scheme is gaining attention for 6th generation (6G) wireless standards due to its superior performance compared to existing time-frequency modulation schemes like orthogonal frequency division multiplexing (OFDM) in the presence of highly time-varying frequency-selective wireless channels. OTFS systems convert doubly-selective channels into almost constant channels over the delay-Doppler domain, reducing computational complexity in data detection and channel estimation algorithms. Conventional pilot-based delay-Doppler channel estimation techniques have been proposed for OTFS systems, but these techniques are spectrally inefficient due to the presence of zeros. To improve spectral efficiency, a channel estimation framework using superimposed pilots was proposed for single-input-single-output (SISO) OTFS systems. However, this technique assumes perfect knowledge of sparsity at the receiver, which is not a valid assumption in practice. This project aims to formulate channel estimation as a sparse recovery problem and develop spectrally efficient sparse channel estimation techniques for SISO/multi-input-multi-output (MIMO) OTFS systems. The authors propose novel low complexity and fast greedy sparse channel recovery algorithms for both SISO and MIMO OTFS systems using conventional pilots. They also develop an iterative data-aided sparse channel estimation framework using superimposed pilot symbols, dividing the total power among data and pilot symbols to minimize bit error rate (BER). Using computer-based mathematical simulations, the performance of the proposed techniques is compared with existing ones in terms of computational complexity, mean squared error (MSE), BER, and achievable spectral efficiency. |
Total Budget (INR): | 6,60,000 |
Organizations involved