eprintid: 1566690
rev_number: 28
eprint_status: archive
userid: 608
dir: disk0/01/56/66/90
datestamp: 2017-07-26 09:07:15
lastmod: 2021-10-15 22:55:55
status_changed: 2017-07-26 09:07:15
type: proceedings_section
metadata_visibility: show
creators_name: Meesue, S
creators_name: Toni, L
creators_name: Sang-Hyo, K
creators_name: Seok-Ho, C
title: Optimization of Joint Progressive Source and Channel Coding for MIMO Systems
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: The optimization of joint source and channel coding for a sequence of numerous progressive packets is a challenging problem. Further, the problem becomes more complicated if the space- time coding is also involved with the optimization in a multiple-input multiple-output (MIMO) system. This is because the number of ways of jointly assigning channel codes and space-time codes to progressive packets is much larger than that of solely assigning channel codes to the packets. This paper applies a parametric approach to address that complex joint optimization problem in a MIMO system. Employing the parametric distortion-rate function, the joint assignment of channel codes and space-time codes to the packets can be optimized in a packet-by- packet manner. As a result, the computational complexity of the optimization is exponentially reduced, compared to the exhaustive search. The numerical results show that the proposed method significantly improves the peak-signal-to-noise ratio performance of the rate-based optimal solution in a MIMO system.
date: 2018-01-15
date_type: published
publisher: IEEE
official_url: https://doi.org/10.1109/GLOCOM.2017.8254148
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1406302
doi: 10.1109/GLOCOM.2017.8254148
lyricists_name: Toni, Laura
lyricists_id: LTONI29
actors_name: Toni, Laura
actors_id: LTONI29
actors_role: owner
full_text_status: public
series: IEEE Global Communications Conference (GLOBECOM)
volume: 2017
place_of_pub: Singapore
event_title: GLOBECOM 2017 - 2017 IEEE Global Communications Conference
event_location: Singapore
event_dates: 04 December 2017 - 08 December 2017
institution: IEEE Globecomm
book_title: Proceedings of GLOBECOM 2017 - 2017 IEEE Global Communications Conference
citation:        Meesue, S;    Toni, L;    Sang-Hyo, K;    Seok-Ho, C;      (2018)    Optimization of Joint Progressive Source and Channel Coding for MIMO Systems.                     In:  Proceedings of GLOBECOM 2017 - 2017 IEEE Global Communications Conference.    IEEE: Singapore.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1566690/1/1570359540.pdf