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WFRFT precoding for generalized frequency division multiplexing
This paper presents a generalized frequency division multiplexing (GFDM) communication scheme based on 4-weighted fractional Fourier transform (WFRFT) precoding. The proposed scheme as well as its low complexity version achieves flexible multi-object optimization of system performance such as bit er...
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creator | Zhenduo Wang Lin Mei Xiaolu Wang Naitong Zhang |
description | This paper presents a generalized frequency division multiplexing (GFDM) communication scheme based on 4-weighted fractional Fourier transform (WFRFT) precoding. The proposed scheme as well as its low complexity version achieves flexible multi-object optimization of system performance such as bit error rate (BER) and peak to average power ratio (PAPR). Compared to traditional GFDM scheme, the improved system based on weighted parameter selection brings about combined performance advantages. |
doi_str_mv | 10.1109/WCNC.2016.7564950 |
format | conference_proceeding |
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The proposed scheme as well as its low complexity version achieves flexible multi-object optimization of system performance such as bit error rate (BER) and peak to average power ratio (PAPR). Compared to traditional GFDM scheme, the improved system based on weighted parameter selection brings about combined performance advantages.</description><identifier>EISSN: 1558-2612</identifier><identifier>EISBN: 9781467398145</identifier><identifier>EISBN: 1467398144</identifier><identifier>DOI: 10.1109/WCNC.2016.7564950</identifier><language>eng</language><publisher>IEEE</publisher><subject>bit error rate (BER) ; Complexity theory ; generalized frequency division multiplexing (GFD-M) ; Interference ; low complexity model ; Peak to average power ratio ; peak to average power ratio (PAPR) ; Precoding ; Pulse shaping methods ; Receivers ; weighted-type fractional Fourier transform (WFRFT)</subject><ispartof>2016 IEEE Wireless Communications and Networking Conference, 2016, p.1-6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7564950$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7564950$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhenduo Wang</creatorcontrib><creatorcontrib>Lin Mei</creatorcontrib><creatorcontrib>Xiaolu Wang</creatorcontrib><creatorcontrib>Naitong Zhang</creatorcontrib><title>WFRFT precoding for generalized frequency division multiplexing</title><title>2016 IEEE Wireless Communications and Networking Conference</title><addtitle>WCNC</addtitle><description>This paper presents a generalized frequency division multiplexing (GFDM) communication scheme based on 4-weighted fractional Fourier transform (WFRFT) precoding. The proposed scheme as well as its low complexity version achieves flexible multi-object optimization of system performance such as bit error rate (BER) and peak to average power ratio (PAPR). Compared to traditional GFDM scheme, the improved system based on weighted parameter selection brings about combined performance advantages.</description><subject>bit error rate (BER)</subject><subject>Complexity theory</subject><subject>generalized frequency division multiplexing (GFD-M)</subject><subject>Interference</subject><subject>low complexity model</subject><subject>Peak to average power ratio</subject><subject>peak to average power ratio (PAPR)</subject><subject>Precoding</subject><subject>Pulse shaping methods</subject><subject>Receivers</subject><subject>weighted-type fractional Fourier transform (WFRFT)</subject><issn>1558-2612</issn><isbn>9781467398145</isbn><isbn>1467398144</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2016</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj9FKwzAUQKMgOOc-QHzJD7Qm9yZp8yRSnApDQSZ7HG1yMyJdW9NNnF_vwD2dl8OBw9iNFLmUwt6tqtcqByFNXmijrBZnbGaLUipToD1Cn7OJ1LrMwEi4ZFfj-CkECK3UhN2v5u_zJR8Sud7HbsNDn_iGOkp1G3_J85Doa0-dO3Afv-MY-45v9-0uDi39HP1rdhHqdqTZiVP2MX9cVs_Z4u3ppXpYZBGU3GUowYlGqUaWhXVWBNJGogB0DWAZCJ1BRx6hdkFBoTE4bIysTRM8eNA4Zbf_3UhE6yHFbZ0O69Mv_gG-Ykm-</recordid><startdate>201604</startdate><enddate>201604</enddate><creator>Zhenduo Wang</creator><creator>Lin Mei</creator><creator>Xiaolu Wang</creator><creator>Naitong Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201604</creationdate><title>WFRFT precoding for generalized frequency division multiplexing</title><author>Zhenduo Wang ; Lin Mei ; Xiaolu Wang ; Naitong Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i241t-312c0b44b1879c90fe5613023cb238fe3c63ced32acf42753fc3b61a6bfd2d253</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2016</creationdate><topic>bit error rate (BER)</topic><topic>Complexity theory</topic><topic>generalized frequency division multiplexing (GFD-M)</topic><topic>Interference</topic><topic>low complexity model</topic><topic>Peak to average power ratio</topic><topic>peak to average power ratio (PAPR)</topic><topic>Precoding</topic><topic>Pulse shaping methods</topic><topic>Receivers</topic><topic>weighted-type fractional Fourier transform (WFRFT)</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhenduo Wang</creatorcontrib><creatorcontrib>Lin Mei</creatorcontrib><creatorcontrib>Xiaolu Wang</creatorcontrib><creatorcontrib>Naitong Zhang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library Online</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhenduo Wang</au><au>Lin Mei</au><au>Xiaolu Wang</au><au>Naitong Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>WFRFT precoding for generalized frequency division multiplexing</atitle><btitle>2016 IEEE Wireless Communications and Networking Conference</btitle><stitle>WCNC</stitle><date>2016-04</date><risdate>2016</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><eissn>1558-2612</eissn><eisbn>9781467398145</eisbn><eisbn>1467398144</eisbn><abstract>This paper presents a generalized frequency division multiplexing (GFDM) communication scheme based on 4-weighted fractional Fourier transform (WFRFT) precoding. The proposed scheme as well as its low complexity version achieves flexible multi-object optimization of system performance such as bit error rate (BER) and peak to average power ratio (PAPR). Compared to traditional GFDM scheme, the improved system based on weighted parameter selection brings about combined performance advantages.</abstract><pub>IEEE</pub><doi>10.1109/WCNC.2016.7564950</doi><tpages>6</tpages></addata></record> |
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source | IEEE Xplore All Conference Series |
subjects | bit error rate (BER) Complexity theory generalized frequency division multiplexing (GFD-M) Interference low complexity model Peak to average power ratio peak to average power ratio (PAPR) Precoding Pulse shaping methods Receivers weighted-type fractional Fourier transform (WFRFT) |
title | WFRFT precoding for generalized frequency division multiplexing |
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