Title
Improve the performance of LTE Turbo coded modulation by irregular mapping
Abstract
3GPP long term evolution (LTE) Turbo coded modulation is well-known for its excellent error-control capability. However, its decoding threshold is still a few decibels away from the constellation-constrained capacity. In this paper, an irregular mapping scheme involving labeling search is proposed to improve the performance of the LTE system. The scheme first predetermines one labeling, and then searches the other one via adaptive binary switch algorithm (ABSA), which considerably increases the design freedom and can provide near-optimal match to a given channel code. By applying the scheme to the LTE specification (Release 8), a practical bit-interleaved Turbo coded modulation with iterative demapping and decoding (Turbo-BICM-ID) system is proposed. With a slight modification on the constellation mapping, the scheme can lower the signal-to-noise ratio (SNR) threshold by 0.43~0.48dB at the block error rate (BLER) of 10-2 under different channel conditions.
Year
DOI
Venue
2012
10.1109/WCNC.2012.6214438
WCNC
Keywords
Field
DocType
lte turbo coded modulation performance,turbo codes,adaptive binary switch algorithm (absa),decoding threshold,bit-interleaved coded modulation with iterative demapping and decoding (bicm-id),iterative demapping,constellation mapping,modulation,adaptive binary switch algorithm,block error rate,labeling search,lte specification,telecommunication channels,near-optimal match,bler,channel conditions,3g mobile communication,constellation-constrained capacity,long term evolution (lte),long term evolution,turbo-bicm-id,absa,lte system,decoding,irregular mapping,3gpp long term evolution turbo coded modulation,signal-to-noise ratio,bit-interleaved turbo coded modulation with iterative demapping and decoding,channel coding,labeling,switches,error rate,error control,signal to noise ratio,turbo code
Block Error Rate,Computer science,Signal-to-noise ratio,Turbo code,Communication channel,Real-time computing,Modulation,Constellation,Decoding methods,Binary number
Conference
Volume
Issue
ISSN
null
null
1525-3511
ISBN
Citations 
PageRank 
978-1-4673-0436-8
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Tao Cheng181.90
Kewu Peng227939.52
Zaishuang Liu3564.81
Zhixing Yang4100387.79