Address:
Professor, ECE Discipline, Khulna University, Khulna 9208, Bangladesh.
Email:
ismat.kadir@ece.ku.ac.bd
Contact:
+8801711067831
Personal Webpage:
click hereDFT-spread Affine Frequency Division Multiplexing for Doubly Dispersive Channels
This thesis investigates DFT-spread affine frequency division multiplexing and spa-
tially modulated DFT-spread affine frequency division multiplexing for high-mobility
wireless communication. High-mobility communication channels are affected by both
delay spread and Doppler spread, making the channel doubly selective and degrad-
ing the performance of conventional orthogonal frequency division multiplexing. To
overcome these deleterious effects, orthogonal time frequency space modulation and
affine frequency division multiplexing have been proposed. Affine frequency division
multiplexing uses chirp-domain affine Fourier processing and is therefore suitable for
doubly dispersive channels. However, practical transmitters also require low peak-to-
average power ratio. To address these requirements, this thesis first develops a DFT-
spread AFDM transceiver for doubly dispersive channels. DFT spreading improves
the peak behavior of the transmitted waveform, while AFDM provides robustness
against delay–Doppler dispersion. The thesis then extends the waveform into a spa-
tial modulation-based MIMO framework, where the information is carried by both the
modulation symbol and the active antenna index. The proposed spatially modulated
DFT-spread AFDM system reduces active RF-chain requirements while maintaining
high-mobility waveform robustness. Simulation-based results show that DFT-spread
AFDM and spatially modulated DFT-spread AFDM provide favorable BER, PAPR,
and complexity trade-offs compared with benchmark systems based on OFDM and
OTFS. The thesis also discusses practical implementation issues and future research
directions for high-speed railway, vehicular, UAV, satellite, and 6G-oriented commu-
nication scenarios.
| Details | |||
| Role | Supervisor | ||
|---|---|---|---|
| Class / Degree | Masters | ||
| Students | Sahal Hossain Siam | ||
| Start Date | January 2025 | ||
| End Date | July 2026 | ||