eprintid: 10055538
rev_number: 19
eprint_status: archive
userid: 608
dir: disk0/10/05/55/38
datestamp: 2018-09-07 10:44:07
lastmod: 2021-12-14 23:26:46
status_changed: 2018-09-07 10:44:07
type: proceedings_section
metadata_visibility: show
creators_name: Ozan, W
creators_name: Haigh, PA
creators_name: Tan, B
creators_name: Darwazeh, I
title: Experimental SEFDM Pipelined Iterative Detection Architecture with Improved Throughput
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
divisions: F52
keywords: Iterative detector, non-orthogonal, pipelining design, spectrally efficient, SEFDM, OFDM.
note: © 2018 IEEE. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: In spectrally efficient frequency division multiplexing (SEFDM), the separation between subcarriers is reduced below the Nyquist criteria, enhancing bandwidth utilisation in comparison to orthogonal frequency division multiplexing (OFDM). This leads to self-induced inter-carrier interference (ICI) in the SEFDM signal, which requires more sophisticated detectors to retrieve the transmitted data. In previous work, iterative detectors (IDs) have been used to recover the SEFDM signal after processing a certain number of iterations, however, the sequential iterative process increases the processing time with the number of iterations, leading to throughput reduction. In this work, ID pipelining is designed and implemented in software defined radio (SDR) to reduce the overall system detection latency and improve the throughput. Thus, symbols are allocated into parallel IDs that have no waiting time as they are received. Our experimental findings show that throughput will improve linearly with the number of the paralleled ID elements, however, hardware complexity also increases linearly with the number of ID elements.
date: 2018-07-20
date_type: published
publisher: IEEE
official_url: http://dx.doi.org/10.1109/VTCSpring.2018.8417512
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1576056
doi: 10.1109/VTCSpring.2018.8417512
isbn_13: 9781538663554
lyricists_name: Darwazeh, Izzat
lyricists_name: Haigh, Paul
lyricists_name: Ozan, Waseem
lyricists_name: Tan, Bo
lyricists_id: IDARW65
lyricists_id: PAHAI28
lyricists_id: WHOOZ70
lyricists_id: BTANX50
actors_name: Ozan, Waseem
actors_id: WHOOZ70
actors_role: owner
full_text_status: public
publication: IEEE Vehicular Technology Conference
volume: 2018-J
place_of_pub: Porto, Portugal
event_title: 87th Vehicular Technology Conference (VTC Spring)
issn: 1550-2252
book_title: Proceedings of the 2018 IEEE 87th Vehicular Technology Conference (VTC Spring)
citation:        Ozan, W;    Haigh, PA;    Tan, B;    Darwazeh, I;      (2018)    Experimental SEFDM Pipelined Iterative Detection Architecture with Improved Throughput.                     In:  Proceedings of the 2018 IEEE 87th Vehicular Technology Conference (VTC Spring).    IEEE: Porto, Portugal.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10055538/1/PID1210378.pdf