READ ME File For 'Research Data: Distributed Joint Source Coding and Trellis Coded Modulation for Symbol-Based Markov Sources'

Dataset DOI: 10.5258/SOTON/D0374

ReadMe Author: Soon Xin Ng, University of Southampton

This dataset supports the publication:

Izhar, A., Aljohani, A. J., Ng, S., & Hanzo, L. (2017). 
Distributed joint source coding and trellis coded modulation for symbol-based Markov sources. 
IEEE Transactions on Vehicular Technology. DOI: 10.1109/TVT.2017.2787548


Contents
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Abstract: A distributed joint source-channel coding scheme
based on a unity-rate code (URC)-assisted trellis coded modulation
(TCM) is proposed, which exploits the spatio-temporal correlation
of symbol-based sources. More specifically, asymmetric distributed
source coding of two spatially correlated Markov sources
is considered, where one of the sources is assumed to be perfectly
decoded and to be available at the receiver of the other source
as side information. In order to exploit the temporal correlation
statistics, an iterative decoding process exchanging extrinsic
information between the amalgamated URC-assisted TCM and a
soft-symbol source decoder employing a modified symbol-based
maximum a posteriori algorithm is invoked. Furthermore, the
Slepian-Wolf (SW) bound of symbol-based sources having spatiotemporal
correlation is derived and the benefits of exploiting the
spatio-temporal correlation using the proposed coding scheme
are demonstrated by our extrinsic information transfer chart
analysis. It is shown from our simulation results that upon
exploiting the spatio-temporal correlation of the sources, the
proposed coding scheme is capable of operating within 0.02 bit
of the SW bound.


Acknowledgement:
This work was supported in part by the Malaysian Ministry of Higher Education,
in part by the Universiti Teknologi Malaysia, in part by the European
Research Council through the Advanced Fellow Grant, in part by the Royal
Society’s Wolfson Research Merit Award, and in part by the Engineering and
Physical Sciences Research Council under Grant EP/L018659/1.


* Fig. 3 [QPSK, 8PSK and 16QAM DCMC capacity curves computed based
on [41].]:
Plot using Fig3.fig

* Fig. 5 [EXIT characteristics of DECS for sources having spatial-only correlation 
\rho_{sp} = {0:4; 0:6; 0:8} (corresponding to p_{sp} = f0:55; 0:70; 0:85g)
and for sources with spatio-temporal correlation of \rho_{sp} = 0:8 and \rho_{te} =
{0:4; 0:6; 0:8} (corresponding to p_{te} = {0:55; 0:70; 0:85}).]:
Plot using Fig5.fig

* Fig. 6 [EXIT chart comparison between the proposed URC+TCM and TTCM
for different number of trellis states evaluated at Eso=N0 = -6 dB. Based
on the GPs suggested for 8PSK TCM/TTCM in [57], GPs (in octal notation)
of [3 2 0]_8 were employed for 2-state TCM, [7 2 4]_8 for 4-state TCM (and
TTCM) and [13 2 4]_8 for 8-state TCM (and TTCM).]:
Plot using Fig6.fig

* Fig. 7 [SER performance of the proposed DJSUTCM-ST exploiting the
spatio-temporal correlation, of the DJSUTCM-S exploiting spatial-only correlation
and of the conventional 8PSK TTCM for Rs = 2 bits/symbol sources.
The vertical lines indicate the associated capacities.]:
Plot using Fig7.fig

* Fig. 8 [SER performance of DJSUTCM-S and DJSUTCM-ST for Rs = 1
and Rs = 3 bits/symbol sources having \rho_{sp} = 0:8 and \rho_{te} = 0:8. The vertical
lines indicate the associated capacities.]:
Plot using Fig8.fig

Fig. 9 [Theoretical SW bound and achievable compression rates obtained using the proposed 
DJSUTCM-S and DJSUTCM-ST schemes for Rs = {1; 2; 3}.]:
Plot using Fig9a.fig, Fig9b.fig, Fig9c.fig.




Dataset available under a CC BY 4.0 licence


Publisher: University of Southampton, U.K.


Date: January 2018