Time offset correction and frequency offset correction in 5G channel estimation

Thumbnail Image

URL

Journal Title

Journal ISSN

Volume Title

Sähkötekniikan korkeakoulu | Master's thesis

Authors

Date

2023-08-21

Department

Major/Subject

Micro and Nano Electronic Circuit Design

Mcode

ELEC3036

Degree programme

Master’s Programme in Electronics and Nanotechnology (TS2013)

Language

en

Pages

63 + 7

Series

Abstract

With the introduction of 5G New Radio (5G NR), certain requirements for speed and latency must be satisfied. For 5G NR, several technologies are required. Beamforming is one among them. This process entails producing a beam with the correct direction and energy for the targeted UE while minimizing its impact on other users. In order to regulate the beam, channel estimate must be often done. Time offset correction (TOC) and frequency offset correction (FOC) are essential steps in the channel estimation process to minimize inter-symbol interference (ISI) and frequency offset brought on by the local oscillator's error. This thesis introduced a form of hardware architecture for UE-specific TOC for sounding reference signal (SRS) to estimate channel effectively. UE-specific TOC for SRS based channel estimation is implemented on hardware to fulfil the high requirements of 5G since hardware could provide good performance. The simula-tion results show that, under ideal circumstances, the current design functioned well. The simulation of this project uses the modelling program VCS simulation software. Synopsys Design Compiler is utilized to compile the code. Additionally, a legacy-TOC that was previously in place for demodulation reference signal (DMRS) based channel estimation was found to be less complex than the UE-specific TOC.

Description

Supervisor

Ryynänen, Jussi

Thesis advisor

Shamani, Farid

Keywords

5G, channel estimation, TOC, FOC, IP, RTL

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202308275202

Collections

[dipl] Sähkötekniikan korkeakoulu / ELEC