Cross-Domain Channel Estimation and Equalization For High Diversity Gains


Haif H., Arous A., Farhang A., ARSLAN H.

2026 IEEE International Conference on Communications, ICC 2026, Glasgow, İngiltere, 24 - 28 Mayıs 2026, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/icc59461.2026.11587051
  • Basıldığı Şehir: Glasgow
  • Basıldığı Ülke: İngiltere
  • Anahtar Kelimeler: affine domain, Channel estimation, diversity gains, equalization, OFDM
  • İstanbul Medipol Üniversitesi Adresli: Evet

Özet

The intrinsic channel tap diversity is lost in the frequency domain one-tap channel estimation (CE), where all multipath components collapse into a single equivalent complex coefficient. Therefore, diversity enhancement solutions are typically shifted toward channel coding or multiple input multiple output (MIMO) schemes. In this paper, we propose a cross-domain path diversity aggregation to enhance the effective signal to noise ratio (SNR) of the received signal while maintaining full compatibility with the existing frame structure. Although affine domain can theoretically achieve high diversity order, we first demonstrate the limitations of iterative search based CE under frequency selective channels with fractional spreading. To overcome these issues, we introduce a hybrid-domain processing that employs the frequency-domain pilots-only symbol for CE, followed by a block of data symbols multiplexed in the affine domain. This design enables simple and accurate CE in the frequency domain while harnessing the diversity and equalization benefits of the affine domain, thereby providing inherent SNR enhancement without additional channel coding or MIMO extensions. Simulation results confirm that the proposed method achieves low BER and high achievable rates under severe frequency-selective conditions, approaching the performance of MIMO systems with significantly lower complexity.