Advanced search ?

Object

Download

Title: Improvement of LTE Downlink Channel Estimation Performance by Using an Adaptive Pilot Pattern, Journal of Telecommunications and Information Technology, 2015, nr 2

Creator:

Youssefi, My Abdelkader ; El Abbadi, Jamal

Date:

2015, nr 2

Resource Type:

artykuł

Description:

This paper proposes an adaptive pilot pattern to improve channel estimation performance for LTE downlink system with high mobility. The downlink pilot positions are predefined in the time and frequency domain with fixed pilot pattern in LTE standard. However, that pilot structure is not efficient in a fast time varying channel, and leads to a decrease of channel estimation performance. The authors propose and evaluate the performance of LTE downlink channel estimation using an adaptive pilot scheme to optimally use pilot tones over time varying channels. It is shown that only seven bits of additional wide-band feedback per frame and per user are required to optimally support adaptive pilot pattern. Simulation results show that the proposed method allows high performance in terms of throughput and channel estimation error. This analysis shows that LTE downlink throughput could be increased over 4%.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1862

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

MIMO OFDM channel estimation LTE pilotpattern

Object collections:

Last modified:

Feb 10, 2016

In our library since:

Feb 10, 2016

Number of object content hits:

176

All available object's versions:

https://bc.itl.waw.pl/publication/2128

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Youssefi, My Abdelkader; El Abbadi, Jamal, Improvement of LTE Downlink Channel Estimation Performance by Using an Adaptive Pilot Pattern, Journal of Telecommunications and Information Technology, 2015, nr 2 Feb 10, 2016

Objects Similar
Performance Improvement for Vehicular Communications Using Alamouti Scheme with High Mobility, Journal of Telecommunications and Information Technology, 2020, nr 3

Youssefi, My Abdelkader Mouhsen, Ahmed

2020, nr 3
artykuł
A DFT-based Low Complexity LMMSE Channel Estimation Technique for OFDM Systems, Journal of Telecommunications and Information Technology, 2022, nr 1

Patra, Jyoti P. Singh, Poonam Pradhan, Bibhuti Bhusan

2022, nr 1
artykuł
New OSTBC for Blind Channel Estimation and Tracking in MIMO-OFDM Systems, Journal of Telecommunications and Information Technology, 2019, nr 3

Keche, Mokhtar Tami, Abdelkader Bouazza, Boubaker S.

2019, nr 3
artykuł
Evaluation of features for the automatic recognition of OFDM signals in monitoring or cognitive receivers, Journal of Telecommunications and Information Technology, 2008, nr 2

Albers, Ulrike Liedtke, Ferdinand

2008, nr 2
artykuł
2024, nr 2, JTIT-artykuły
2024, nr 2, JTIT-artykuły
Exact Analysis of MIMO Channel Estimation Based on Superimposed Training, Journal of Telecommunications and Information Technology, 2024, nr 2

Addad, Mouad Toaba, Hanane Meriem Djebbari, Ali

2024
artykuł
An Extended Version of the Proportional Adaptive Algorithm Based on Kernel Methods for Channel Identification with Binary Measurements, Journal of Telecommunications and Information Technology, 2022, nr 3

Safi, Said Darif, Anouar Fateh, Rachid

2022, nr 3
artykuł
Pilot Design for Sparse Channel Estimation in Orthogonal Frequency Division Multiplexing Systems, Journal of Telecommunications and Information Technology, 2018, nr 2

Yamuna, G. Vimala, P.

2018, nr 2
artykuł
2024, nr 3, JTIT-artykuły
2024, nr 3, JTIT-artykuły
A Deep Learning-based Approach for Channel Estimation in Multi-access Multi-antenna Systems, Journal of Telecommunications and Information Technology, 2024, nr 3

Qasaymeh, Mahmoud M. Alqatawneh, Ali Khodeir, Mahmoud A. Aljaafreh, Ahmad F.

2024, nr 3
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information