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IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 58, NO. 11, NOVEMBER 2010 3219<br />

<strong>Coherent</strong> <strong>and</strong> <strong>Differential</strong> <strong>Space</strong>-<strong>Time</strong> <strong>Shift</strong> <strong>Keying</strong>:<br />

A Dispersion Matrix Approach<br />

Shinya Sugiura, Member, IEEE, Sheng Chen, Fellow, IEEE, <strong>and</strong> Lajos Hanzo, Fellow, IEEE<br />

Abstract—Motivated by the recent concept of Spatial Modulation<br />

(SM), we propose a novel <strong>Space</strong>-<strong>Time</strong> <strong>Shift</strong> <strong>Keying</strong> (STSK)<br />

modulation scheme for Multiple-Input Multiple-Output (MIMO)<br />

communication systems, where the concept of SM is extended<br />

to include both the space <strong>and</strong> time dimensions, in order to<br />

provide a general shift-keying framework. More specifically, in<br />

the proposed STSK scheme one out of


3220 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 58, NO. 11, NOVEMBER 2010<br />

coherently detected SM/SSK scheme requires Channel State<br />

Information (CSI) at the receiver, although it is a challenging<br />

task to acquire accurate CSI for high-speed vehicles, which<br />

may require a high pilot overhead <strong>and</strong> imposes a substantial<br />

processing complexity. The resultant CSI estimation error is<br />

expected to erode the achievable performance.<br />

Against this background the novel contributions of this<br />

paper are as follows:<br />

1) Inspired by the SM/SSK scheme, we propose the novel<br />

concept of <strong>Space</strong>-<strong>Time</strong> <strong>Shift</strong> <strong>Keying</strong> (STSK) modulation,<br />

which constitutes a generalized shift-keying architecture<br />

utilizing both the space as well as time dimensions<br />

<strong>and</strong> hence includes the SM <strong>and</strong> SSK schemes<br />

as special cases. More specifically, the STSK scheme<br />

is based on the activation of


SUGIURA et al.: COHERENT AND DIFFERENTIAL SPACE-TIME SHIFT KEYING: A DISPERSION MATRIX APPROACH 3221<br />

TABLE I<br />

EXAMPLE OF STSK MODULATION SCHEME,MAPPING 3BITS PER SPACE-TIME BLOCK, WITH THE AID OF L–PSK CONSTELLATION


3222 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 58, NO. 11, NOVEMBER 2010


SUGIURA et al.: COHERENT AND DIFFERENTIAL SPACE-TIME SHIFT KEYING: A DISPERSION MATRIX APPROACH 3223<br />

Source<br />

S/P<br />

Fig. 2. Transmitter structure of our DSTSK scheme.<br />

DSTSK block<br />

D. Computational Complexity<br />

Let us now characterize the computational complexity imposed<br />

by the ML detection of our CSTSK scheme for both<br />

rapid <strong>and</strong> slow fading, which are given, respectively, by<br />


3224 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 58, NO. 11, NOVEMBER 2010<br />

III. THREE-STAGE CONCATENATED TURBO STSK<br />

SCHEME<br />

Let us invoke the turbo principle [12] to incorporate the<br />

proposed CSTSK <strong>and</strong> DSTSK schemes of Section II in a<br />

multiple-stage serially concatenated arrangement, for the sake<br />

of achieving a near-capacity performance. Furthermore, the<br />

iterative soft demapping principle is derived for our STSK<br />

scheme. Additionally, the capacity of our CSTSK scheme is<br />

also characterized.<br />

A. System Overview<br />

Fig. 3 shows the schematic of the proposed three-stage<br />

channel- <strong>and</strong> Unity Rate-Coded (URC) STSK scheme using<br />

iterative detection. Here, the input source bits are channelencoded<br />

by a half-rate Recursive Systematic Convolutional<br />

(RSC) code <strong>and</strong> are interleaved by a r<strong>and</strong>om bit interleaver Π1.<br />

Then, the interleaved bits are further encoded by a recursive<br />

URC encoder [16] 5 , <strong>and</strong> then the coded bits are interleaved<br />

by the second r<strong>and</strong>om interleaver Π2 of Fig. 3. Finally, the<br />

interleaved bits are input to the CSTSK block of Fig. 1 or<br />

DSTSK block of Fig. 2, followed by the transmission of the<br />

space-time block


SUGIURA et al.: COHERENT AND DIFFERENTIAL SPACE-TIME SHIFT KEYING: A DISPERSION MATRIX APPROACH 3225<br />

Source<br />

Outer code Inner code<br />

Channel<br />

encoder<br />

Channel<br />

decoder<br />

Unity-rate<br />

encoder<br />

Unity-rate<br />

decoder<br />

CSTSK<br />

/DSTSK<br />

block<br />

CSTSK<br />

/DSTSK<br />

demapper<br />

<strong>Space</strong>-time<br />

1<br />

<br />

mapper<br />

Fig. 3. Schematic of a three-stage RSC- <strong>and</strong> URC-coded coherent or differential STSK scheme using iterative detection.<br />


3226 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 58, NO. 11, NOVEMBER 2010<br />

exhibits a system structure, which is identical to that of<br />

the SM/SSK scheme employing (


SUGIURA et al.: COHERENT AND DIFFERENTIAL SPACE-TIME SHIFT KEYING: A DISPERSION MATRIX APPROACH 3227<br />

R<br />

E<br />

B<br />

10 0<br />

10 -1<br />

10 -2<br />

10 -3<br />

10 -4<br />

10 -5<br />

10 -6<br />

0 5 10 15 20 25 30<br />

SNR [dB]<br />

BPSK<br />

CSTSK(2,2,2,Q),<br />

bound<br />

upper<br />

Q = 1, 2, 4 <strong>and</strong> 8<br />

Fig. 5. Achievable BER curves of our CSTSK(2, 2, 2,


3228 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 58, NO. 11, NOVEMBER 2010<br />

Fig. 9. Achievable BER curves of our CSTSK(2, 2, 2,


SUGIURA et al.: COHERENT AND DIFFERENTIAL SPACE-TIME SHIFT KEYING: A DISPERSION MATRIX APPROACH 3229<br />

I E<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

= -2.0 dB to 3 dB<br />

SNR<br />

of 0.5 dB)<br />

(step<br />

QPSK<br />

CSTSK(2,2,2,4),<br />

RSC(2,1,2)<br />

200 000 bits<br />

Trajectory,<br />

= -0.5 dB<br />

SNR<br />

0.0<br />

0.4 0.6 0.8 1.0<br />

0.2 0.0<br />

Fig. 11. EXIT chart of our QPSK-modulated CSTSK(2, 2, 2, 4) system.The<br />

outer EXIT curve of the half-rate RSC(2, 1, 2) code was also plotted.<br />

b<br />

o<br />

l]<br />

2.0 m<br />

its<br />

/s<br />

y<br />

[<br />

b 1.5<br />

ity<br />

c<br />

1.0 a<br />

C<br />

a<br />

p<br />

3.0<br />

2.5<br />

0.5<br />

0.0<br />

0 5 10 15 20<br />

-5 -10<br />

I A<br />

QPSK, CCMC<br />

CSTSK(2,2,2,4),<br />

QPSK, DCMC<br />

CSTSK(2,2,2,4),<br />

QPSK, maximum achievable rate<br />

CSTSK(2,2,2,4),<br />

(M,)=(2,2), BPSK, DCMC<br />

SM,<br />

SNR [dB]<br />

Fig. 12. B<strong>and</strong>width efficiency of our CSTSK(2, 2, 2, 4) system employing<br />

QPSK modulation, comparing the CCMC capacity, the DCMC capacity <strong>and</strong><br />

the maximum achievable rate. The DCMC capacity of the BPSK-modulated<br />

SM employing (


3230 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 58, NO. 11, NOVEMBER 2010<br />

REFERENCES<br />

[1] L. Hanzo, O. Alamri, M. El-Hajjar, <strong>and</strong> N. Wu, Near-Capacity Multi-<br />

Functional MIMO Systems: Sphere-Packing, Iterative Detection <strong>and</strong><br />

Cooperation. John Wiley <strong>and</strong> IEEE Press, 2009.<br />

[2] P. Wolniansky, G. Foschini, G. Golden, <strong>and</strong> R. Valenzuela, “V-BLAST:<br />

an architecture for realizing very high data rates over the rich-scattering<br />

wireless channel," in Proc. International Symp. Signals, Syst., Electron.,<br />

Pisa, Italy, 1998, pp. 295-300.<br />

[3] S. Alamouti, “A simple transmit diversity technique for wireless communications,"<br />

IEEE J. Sel. Areas Commun., vol. 16, no. 8, pp. 1451-1458,<br />

1998.<br />

[4] V. Tarokh, N. Seshadri, <strong>and</strong> A. Calderbank, “<strong>Space</strong>-time codes for<br />

high data rate wireless communication: performance criterion <strong>and</strong> code<br />

construction," IEEE Trans. Inf. Theory, vol. 44, no. 2, pp. 744-765,<br />

1998.<br />

[5] B. Hassibi <strong>and</strong> B. Hochwald, “High-rate codes that are linear in space<br />

<strong>and</strong> time," IEEE Trans. Inf. Theory, vol. 48, no. 7, pp. 1804-1824, 2002.<br />

[6] ——, “Cayley differential unitary space-time codes," IEEE Trans. Inf.<br />

Theory, vol. 48, no. 6, pp. 1485-1503, 2002.<br />

[7] R. Mesleh, H. Haas, C. Ahn, <strong>and</strong> S. Yun, “Spatial modulation—a new<br />

low complexity spectral efficiency enhancing technique," in Proc. First<br />

International Conf. Commun. Netw., Beijing, China, Oct. 2006, pp. 1-5.<br />

[8] R. Mesleh, H. Haas, S. Sinanovic, C. Ahn, <strong>and</strong> S. Yun, “Spatial<br />

modulation," IEEE Trans. Veh. Technol., vol. 57, no. 4, pp. 2228-2242,<br />

2008.<br />

[9] J. Jeganathan, A. Ghrayeb, <strong>and</strong> L. Szczecinski, “Spatial modulation:<br />

optimal detection <strong>and</strong> performance analysis," IEEE Commun. Lett.,<br />

vol. 12, no. 8, pp. 545-547, 2008.<br />

[10] J. Jeganathan, A. Ghrayeb, L. Szczecinski, <strong>and</strong> A. Ceron, “<strong>Space</strong><br />

shift keying modulation for MIMO channels," IEEE Trans. Wireless<br />

Commun., vol. 8, no. 7, pp. 3692-3703, 2009.<br />

[11] M. Di Renzo <strong>and</strong> H. Haas, “Performance comparison of different spatial<br />

modulation schemes in correlated fading channels," in Proc. IEEE<br />

International Conf. Commun., Cape Town, South Africa, May 2010,<br />

pp. 1-6.<br />

[12] L. Hanzo, T. Liew, <strong>and</strong> B. Yeap, Turbo Coding, Turbo Equalisation,<br />

<strong>and</strong> <strong>Space</strong>-<strong>Time</strong> Coding for Transmission over Fading Channels. John<br />

Wiley <strong>and</strong> IEEE Press, 2002.<br />

[13] A. Ashikhmin, G. Kramer, <strong>and</strong> S. Ten Brink, “Extrinsic information<br />

transfer functions: model <strong>and</strong> erasure channel properties," IEEE Trans.<br />

Inf. Theory, vol. 50, no. 11, pp. 2657-2673, 2004.<br />

[14] R. Heath Jr <strong>and</strong> A. Paulraj, “Linear dispersion codes for MIMO systems<br />

based on frame theory," IEEE Trans. Signal Process., vol. 50, no. 10,<br />

pp. 2429-2441, 2002.<br />

[15] V. Tarokh, N. Seshadri, <strong>and</strong> A. Calderbank, “<strong>Space</strong>-time codes for<br />

high data rate wireless communication: performance criterion <strong>and</strong> code<br />

construction," IEEE Trans. Inf. Theory, vol. 44, no. 2, pp. 744-765,<br />

1998.<br />

[16] D. Divsalar, S. Dolinar, <strong>and</strong> F. Pollara, “Serial concatenated trellis coded<br />

modulation with rate-1 inner code," in Proc. IEEE Global Telecommun.<br />

Conf., vol. 2, San Francisco, CA, Nov. 2000, pp. 777-782.<br />

[17] S. ten Brink, “Convergence behavior of iteratively decoded parallel<br />

concatenated codes," IEEE Trans. Commun., vol. 49, no. 10, pp. 1727-<br />

1737, 2001.<br />

[18] S. Ng <strong>and</strong> L. Hanzo, “On the MIMO channel capacity of multidimensional<br />

signal sets," IEEE Trans. Veh. Technol., vol. 55, no. 2, pp. 528-<br />

536, 2006.<br />

[19] J. Proakis, Digital Communications. McGraw-Hill, 2001.<br />

[20] J. Jeganathan, A. Ghrayeb, <strong>and</strong> L. Szczecinski, “Generalized space<br />

shift keying modulation for MIMO channels," in Proc. IEEE 19th<br />

International Symp. Personal, Indoor Mobile Radio Commun., Cannes,<br />

France, Sep. 2008, pp. 1-5.<br />

[21] V. Tarokh, S. Alamouti, <strong>and</strong> P. Poon, “New detection schemes for<br />

transmit diversity with no channel estimation," in Proc. International<br />

Conf. Universal Personal Commun., vol. 2, 1998, pp. 917-920.<br />

[22] V. Tarokh, H. Jafarkhani, <strong>and</strong> A. Calderbank, “<strong>Space</strong>-time block coding<br />

for wireless communications: performance results," IEEE J. Sel. Areas<br />

Commun., vol. 17, no. 3, pp. 451-460, 1999.<br />

[23] M. Tüchler, “Design of serially concatenated systems depending on the<br />

block length," IEEE Trans. Commun., vol. 52, no. 2, pp. 209-218, 2004.<br />

Shinya Sugiura (M’06) received the B.S. <strong>and</strong> M.S.<br />

degrees in aeronautics <strong>and</strong> astronautics from Kyoto<br />

University, Kyoto, Japan, in 2002 <strong>and</strong> 2004, respectively.<br />

In 2004, he joined Toyota Central Research<br />

<strong>and</strong> Development Laboratories (CRDL), Inc., Aichi,<br />

Japan. Since 2007 he has been with the School<br />

of Electronics <strong>and</strong> Computer Science, University<br />

of Southampton, Southampton, UK, on leave from<br />

Toyota CRDL Inc., where he is currently working<br />

towards the Ph.D. degree. His research has covered a<br />

range of areas in communications, including spacetime<br />

modulation <strong>and</strong> demodulation, turbo coding, cooperative communications,<br />

multiuser detection, automotive antenna design as well as vehicular ad<br />

hoc networking. He has published over 20 research papers in various journals<br />

<strong>and</strong> conference proceedings. He was awarded IEEE AP-S Japan Chapter<br />

Young Engineer Award in December 2008.<br />

Sheng Chen (M’90-SM’97-F’08) obtained a BEng<br />

degree from the East China Petroleum Institute,<br />

Dongying, China, in 1982, <strong>and</strong> a PhD degree from<br />

the City University, London, in 1986, both in control<br />

engineering. In 2005, he was awarded DSc<br />

from the University of Southampton, Southampton,<br />

UK. Since 1999 he has been with the School of<br />

Electronics <strong>and</strong> Computer Science, the University<br />

of Southampton, UK. He previously held research<br />

<strong>and</strong> academic appointments at the Universities of<br />

Sheffield, Edinburgh <strong>and</strong> Portsmouth, all in UK.<br />

Professor Chen’s recent research works include adaptive signal processing,<br />

wireless communications, modelling <strong>and</strong> identification of nonlinear systems,<br />

neural network <strong>and</strong> machine learning, finite-precision digital controller design,<br />

evolutionary computation methods, <strong>and</strong> optimization. He has published over<br />

280 research papers. In the database of the world’s most highly cited<br />

researchers in various disciplines, compiled by Institute for Scientific Information<br />

(ISI) of the USA, Prof. Chen is on the list of the highly cited researchers<br />

in the engineering category, see http://www.ISIHighlyCited.com.<br />

Lajos Hanzo (http://www-mobile.ecs.soton.ac.uk)<br />

FREng, FIEEE, FIET, DSc received his degree in<br />

electronics in 1976 <strong>and</strong> his doctorate in 1983. During<br />

his 34-year career in telecommunications he<br />

has held various research <strong>and</strong> academic posts in<br />

Hungary, Germany <strong>and</strong> the UK. Since 1986 he has<br />

been with the School of Electronics <strong>and</strong> Computer<br />

Science, University of Southampton, UK, where he<br />

holds the chair in telecommunications. He has coauthored<br />

20 John Wiley - IEEE Press books on<br />

mobile radio communications totalling in excess of<br />

10 000 pages, published 880 research papers <strong>and</strong> book chapters at IEEE<br />

Xplore, acted as TPC Chair of IEEE conferences, presented keynote lectures<br />

<strong>and</strong> been awarded a number of distinctions. Currently he is directing an<br />

academic research team, working on a range of research projects in the field of<br />

wireless multimedia communications sponsored by industry, the Engineering<br />

<strong>and</strong> Physical Sciences Research Council (EPSRC) UK, the European IST<br />

Programme <strong>and</strong> the Mobile Virtual Centre of Excellence (VCE), UK. He is an<br />

enthusiastic supporter of industrial <strong>and</strong> academic liaison <strong>and</strong> he offers a range<br />

of industrial courses. He is also an IEEE Distinguished Lecturer as well as a<br />

Governor of both the IEEE ComSoc <strong>and</strong> the VTS. He is the Editor-in-Chief<br />

of the IEEE Press <strong>and</strong> a Chaired Prof. also at Tsinghua University, Beijing.<br />

For further information on research in progress <strong>and</strong> associated publications<br />

please refer to http://www-mobile.ecs.soton.ac.uk

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