Joint Channel Estimation and Data Detection for Hybrid RIS aided Millimeter Wave OTFS Systems
Muye Li, Shun Zhang, Yao Ge, Feifei Gao, and Pingzhi Fan

TL;DR
This paper proposes a joint channel estimation and data detection scheme for hybrid RIS aided millimeter wave OTFS systems, improving performance in high mobility scenarios by iteratively estimating channels and data symbols.
Contribution
It introduces a novel transmission structure, a message passing based JCEDD scheme, and an EM algorithm for parameter updates in HRIS aided OTFS systems.
Findings
The proposed scheme accurately estimates channels and data symbols.
Simulation results validate the effectiveness of the JCEDD approach.
Enhanced communication performance in high mobility environments.
Abstract
For high mobility communication scenario, the recently emerged orthogonal time frequency space (OTFS) modulation introduces a new delay-Doppler domain signal space, and can provide better communication performance than traditional orthogonal frequency division multiplexing system. This article focuses on the joint channel estimation and data detection (JCEDD) for hybrid reconfigurable intelligent surface (HRIS) aided millimeter wave (mmWave) OTFS systems. Firstly, a new transmission structure is designed. Within the pilot durations of the designed structure, partial HRIS elements are alternatively activated. The time domain channel model is then exhibited. Secondly, the received signal model for both the HRIS over time domain and the base station over delay-Doppler domain are studied. Thirdly, by utilizing channel parameters acquired at the HRIS, an HRIS beamforming design strategy is…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Antenna and Metasurface Technologies · Metamaterials and Metasurfaces Applications
MethodsBalanced Selection
