CARRIER FREQUENCY OFFSET ESTIMATION IN GENERALIZED FREQUENCY DIVISION MULTIPLEXING SYSTEM

<p align="justify">Long term evolution (LTE) technology in the telecommunication era will soon be replaced with 5G technology that has better performance in latency, speed, and capacity. One of the latest developments for 5G technology is machine type communication (MTC) which is an...

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Main Author: NIYATI HASYIM - NIM : 23216095 , RAHMAH
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30134
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:30134
spelling id-itb.:301342018-05-31T11:18:51ZCARRIER FREQUENCY OFFSET ESTIMATION IN GENERALIZED FREQUENCY DIVISION MULTIPLEXING SYSTEM NIYATI HASYIM - NIM : 23216095 , RAHMAH Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/30134 <p align="justify">Long term evolution (LTE) technology in the telecommunication era will soon be replaced with 5G technology that has better performance in latency, speed, and capacity. One of the latest developments for 5G technology is machine type communication (MTC) which is an application for internet of things (IoT). MTC applications provide services that require low power, cost-efficient devices, as well as loose synchronization techniques. If in previous LTE or 4G technology orthogonal frequency division multiplexing (OFDM) is a waveform that is very proud because of its orthogonality, then to have a synchronization technique that is not complicated this waveform will be difficult to use because it must maintain the orthogonality of its subcarrier. Hence, generalized frequency division multiplexing (GFDM) is introduced as a new waveform for 5G technology. In this research we will find a technique that can estimate carrier frequency offset (CFO) in GFDM system. GFDM systems have poor performance when CFOs occur so CFO estimation techniques for GFDM systems are indispensable. The simulation is to compare the CFO estimation technique using CP and symbol training for MTC application scenario in GFDM system. CP technique used in this study is a modification of CP techniques in general to widen the estimation range whereas symbol training techniques use a number of symbols raised to be used as preamble used to estimate CFO. The results also show that both techniques can widen the range of CFO estimates. <p align="justify"> <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify">Long term evolution (LTE) technology in the telecommunication era will soon be replaced with 5G technology that has better performance in latency, speed, and capacity. One of the latest developments for 5G technology is machine type communication (MTC) which is an application for internet of things (IoT). MTC applications provide services that require low power, cost-efficient devices, as well as loose synchronization techniques. If in previous LTE or 4G technology orthogonal frequency division multiplexing (OFDM) is a waveform that is very proud because of its orthogonality, then to have a synchronization technique that is not complicated this waveform will be difficult to use because it must maintain the orthogonality of its subcarrier. Hence, generalized frequency division multiplexing (GFDM) is introduced as a new waveform for 5G technology. In this research we will find a technique that can estimate carrier frequency offset (CFO) in GFDM system. GFDM systems have poor performance when CFOs occur so CFO estimation techniques for GFDM systems are indispensable. The simulation is to compare the CFO estimation technique using CP and symbol training for MTC application scenario in GFDM system. CP technique used in this study is a modification of CP techniques in general to widen the estimation range whereas symbol training techniques use a number of symbols raised to be used as preamble used to estimate CFO. The results also show that both techniques can widen the range of CFO estimates. <p align="justify"> <br />
format Theses
author NIYATI HASYIM - NIM : 23216095 , RAHMAH
spellingShingle NIYATI HASYIM - NIM : 23216095 , RAHMAH
CARRIER FREQUENCY OFFSET ESTIMATION IN GENERALIZED FREQUENCY DIVISION MULTIPLEXING SYSTEM
author_facet NIYATI HASYIM - NIM : 23216095 , RAHMAH
author_sort NIYATI HASYIM - NIM : 23216095 , RAHMAH
title CARRIER FREQUENCY OFFSET ESTIMATION IN GENERALIZED FREQUENCY DIVISION MULTIPLEXING SYSTEM
title_short CARRIER FREQUENCY OFFSET ESTIMATION IN GENERALIZED FREQUENCY DIVISION MULTIPLEXING SYSTEM
title_full CARRIER FREQUENCY OFFSET ESTIMATION IN GENERALIZED FREQUENCY DIVISION MULTIPLEXING SYSTEM
title_fullStr CARRIER FREQUENCY OFFSET ESTIMATION IN GENERALIZED FREQUENCY DIVISION MULTIPLEXING SYSTEM
title_full_unstemmed CARRIER FREQUENCY OFFSET ESTIMATION IN GENERALIZED FREQUENCY DIVISION MULTIPLEXING SYSTEM
title_sort carrier frequency offset estimation in generalized frequency division multiplexing system
url https://digilib.itb.ac.id/gdl/view/30134
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