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Probability Analysis of Capacity Gain by Cooperative Relaying Over Single-Hop OSTBC Transmission in Low SNR Regime

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Abstract

In this paper, we investigate the capacity gain obtained by putting a multiple-antenna relay in an original single-hop multiple-input multiple-output system using an orthogonal space-time block code over uncorrelated Rayleigh fading channels. As relaying techniques, we consider decode-and-forward relaying as well as decouple-and-forward relaying in which no decoding is performed at the relay. Focusing on the low signal-to-noise ratio regime, closed-form expressions of the probability of the capacity gain are provided for the respective relaying schemes. The probability results in an explicit function of an average power ratio of the per-hop channel in dual-hop relaying to the single-hop channel. Numerical examples show the impact of the power ratio, the relaying strategy, the number of antennas and the relay location on the capacity gain, respectively.

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Notes

  1. It is noted that since the outage performance in this paper is expressed as a function of received SNR, we do not need to explicitly decode the MIMO signal in the simulation but just compute the SNR with a Monte Carlo method. Consequently, we do not use a specific channel estimation method but assume perfect knowledge of channel information at the respective receivers as described in Sect. 2.1.

References

  1. Lee, I.-H., & Kim, D. (2008). Probability of SNR gain by dual-hop relaying over single-hop transmission in SISO Rayleigh fading channels. IEEE Communications Letters, 12(10), 734–736.

    Article  Google Scholar 

  2. Tarokh, V., Jafarkhani, H., & Calderbank, A. R. (1999). Space-time block codes from orthogonal designs. IEEE Transactions on Information Theory, 45, 1456–1467.

    Article  MATH  MathSciNet  Google Scholar 

  3. Lee, I.-H., & Kim, D. (2008). End-to-end BER analysis for dual-hop OSTBC transmissions over Rayleigh fading channels. IEEE Transactions on Communications, 56(3), 347–351.

    Article  Google Scholar 

  4. Chen, S., Wang, W., Zhang, X., & Sun, Z. (2010). Performance analysis of OSTBC transmission in amplify-and-forward cooperative relay networks. IEEE Transactions on Vehicular Technology, 59(1), 105–113.

    Article  MathSciNet  Google Scholar 

  5. Chalise, B. K., & Vandendorpe, L. (2008). Outage probability analysis of a MIMO relay channel with orthogonal space-time block codes. IEEE Communications Letters, 12(4), 280–282.

    Google Scholar 

  6. Yang, L., & Zhang, Q. T. (2010). Performance analysis of MIMO relay wireless networks with orthogonal STBC. IEEE Transactions on Vehicular Technology, 59(7), 3668–3674.

    Article  MATH  Google Scholar 

  7. Yang, Q., Kwak, K. S., & Fu, F. (2010). Closed-form symbol error rate expression of decode-and-forward relaying using orthogonalspace-time block coding. IET Communications, 4(3), 368–375.

    Article  MathSciNet  Google Scholar 

  8. Yang, S., & Belfiore, J.-C. (2007). Diversity of MIMO multihop relay channels. IEEE Transactions on Information Theory (submitted). http://arxiv.org/pdf/0708.0386.pdf.

  9. Lee, I.-H., & Kim, D. (2010). Achieving maximum spatial diversity with decouple-and-forward relaying in dual-hop OSTBC transmissions. IEEE Transactions on Wireless Communications, 9(3), 921–925.

    Article  Google Scholar 

  10. Lee, I.-H., Park, J.-H., & Kim, D. (2010). Outage performance of multi-hop decouple-and-forward relaying in spatially correlated MIMO channels. IEICE Transactions on Communications, E93-B(5), 1298–1301.

  11. IEEE Standard 802.16e-2005. (2006). IEEE standard for local and metropolitan area networks–Part 16: Air interface for fixed and mobile broadband wireless access systems. http://ieee802.org/16/pubs/80216e.html.

  12. 3GPP TS 36.211 v8.5.0. (2008). Evolved universal terrestrial radio access(E-UTRA); physical channels and modulation. http://www.3gpp.org/ftp/Specs/html-info/36211.htm.

  13. IEEE 802.16j-06/015. (2006). Harmonized contribution on 802.16j (mobile multihop relay) usage models. http://www.ieee802.org/16/relay/docs/80216j-06_015.pdf.

  14. 3GPP TS 36.216 V10.3.1. (2011). Evolved universal terrestrial radio access (E-UTRA); physical layer for relaying operation. http://www.3gpp.org/ftp/Specs/html-info/36216.htm.

  15. Li, X., Luo, T., Yue, G., & Yin, C. (2001). A squaring method to simplify the decoding of orthogonal space-time block codes. IEEE Transactions on Communications, 49(10), 1700–1703.

    Article  MATH  Google Scholar 

  16. Haykin, S., & Moher, M. (2004). Modern wireless communications. New Jersey: Prentice Hall.

  17. Larsson, E. G., & Stoica, P. (2003). Space-time block coding for wireless communications. Cambridge: Cambridge University Press.

    Book  MATH  Google Scholar 

  18. Laneman, J. N., Tse, D. N. C., & Wornell, G. W. (2004). Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory, 50(12), 3062–3080.

    Article  MathSciNet  Google Scholar 

  19. Proakis, J. G. (2001). Digital communications (4th ed.). New York: McGraw-Hill.

    Google Scholar 

  20. Louie, R. H. Y., Li, Y., & Vucetic, B. (May 2008). Performance analysis of beamforming in two hop amplify and forward relay networks. In Proceedings of IEEE international conference on communications (ICC 2008), Beijing, China (pp. 4311–4315).

  21. Gradshteyn, I. S., & Ryzhik, I. M. (2007). Table of integrals, series, and products (7th ed.). MA: Academic.

    MATH  Google Scholar 

  22. National Research Council. (1997). The evolution of untethered communications. Washington: National Academy Press.

  23. Baum, D. S., El-Sallabi, H., et al. (2005). Final report on link level and system level channel models. WINNER project deliverable D5.4, v. 1.4. http://projects.celtic-initiative.org/winner+.

  24. Itu-R, M. 2135-1. (2009). Guidelines for evaluation of radio interface technologies for IMT-advanced. http://www.itu.int/pub/R-REP-M.2135-1-2009.

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Correspondence to Dongwoo Kim.

Appendices

Appendix A: Derivation of \(\mathcal P ^{DCF}_{A}(\lambda )\)

Inserting (9) and (10) into (7), \(\mathcal P ^{DCF}_{A}(\lambda )\) for \(\lambda > 1/R_c\) is obtained by

$$\begin{aligned} \mathcal P ^{DCF}_{A}(\lambda )&= 1- \int \limits ^{\infty }_{0} F_{\gamma ^{DCF}_{R}} ( (R_c \lambda -1) \gamma ) f_{\gamma _0}(\gamma ) d\gamma \nonumber \\&= \frac{2}{(m_0-1)!(m_2-1)!} \left( \frac{z^S}{G_0}\right) ^{m_0} \left( \frac{z^R}{G_2}\right) ^{m_2} \sum ^{m_1-1}_{k=0}\frac{1}{k!} \nonumber \\&\quad \times \left( \frac{z^S z^R}{G_1 G_2}\right) ^{\frac{k}{2}} \sum ^{m_2+k-1}_{j=0} \left( \begin{array}{c} m_2+k-1 \\ j \\ \end{array} \right) \left( \frac{G_2 z^S}{G_1 z^R}\right) ^{\frac{j+1}{2}}\nonumber \\&\quad \times \left( R_c \lambda -1 \right) ^{m_2+k} \int \limits ^{\infty }_{0} e^{-\gamma \left( \frac{z^S}{G_0} + (R_c \lambda -1) \left( \frac{z^S}{G_1} +\frac{z^R}{G_2} \right) \right) } \nonumber \\&\quad \times \,\gamma ^{m_0+m_2+k-1} K_{j-k+1}\left( 2\gamma (R_c \lambda -1) \sqrt{\frac{z^S z^R}{G_1 G_2}} \right) d\gamma . \nonumber \\ \end{aligned}$$
(18)

Using [21, eq. (6.621.3)], the integral in (18) is solved as follows:

$$\begin{aligned}&\sqrt{\pi } \left( 4 \sqrt{\frac{z^S z^R}{G_1 G_2} }\right) ^{j-k+1} (R_c \lambda -1)^{-\xi -k} \left( \frac{z^S}{G_0} \right) ^{-\xi -j-1} \nonumber \\&\quad \times \,\omega _{+}^{-\xi -j-1} \frac{\Gamma {(\xi +j+1)} \Gamma {(\xi +2k-j-1)}}{\Gamma {(\xi +k+\frac{1}{2})}} \nonumber \\&\quad \times \, _{2}F_{1} \left( \xi +j+1,j-k+\frac{3}{2}; \xi +k+\frac{1}{2}; \frac{\omega _{-}}{\omega _{+}} \right) \!, \end{aligned}$$
(19)

where

$$\begin{aligned} \omega _{+} = \frac{1}{R_c \lambda -1} + \frac{G_0}{G_1} + \frac{G_0 z^R}{G_2 z^S} + 2 \sqrt{\frac{G_0^2 z^R}{G_1 G_2 z^S}},\end{aligned}$$
(20)
$$\begin{aligned} \omega _{-} = \frac{1}{R_c \lambda -1} + \frac{G_0}{G_1} + \frac{G_0 z^R}{G_2 z^S} - 2 \sqrt{\frac{G_0^2 z^R}{G_1 G_2 z^S}}, \end{aligned}$$
(21)

and \(\xi =m_0+m_2\). Inserting (19) into (18) and using \(L_1 = G_1/G_0\) and \(L_2 = G_2/G_0\), (18) can be expressed as (11).

Appendix B: Derivation of \(\mathcal P ^{DF}_A(\lambda )\)

Let \(I_i(\gamma ) = \sum ^{m_i-1}_{k=0} \frac{1}{k!} \left( \frac{z_i \gamma }{G_i} \right) ^k e^{-z_i \gamma / G_i}\) for \(i=1,2\), where \(z_1=z^S\) and \(z_2=z^R\). Inserting (9) and (14) into (8), \(\mathcal P ^{DF}_A(\lambda )\) for \(\lambda > 1/R_c\) is then obtained by

$$\begin{aligned} \mathcal P ^{DF}_A(\lambda )&= \int \limits ^{\infty }_{0} \left\{ 1-F_{\gamma _1} ( R_c \lambda \gamma ) \right\} \times \left\{ 1-F_{\gamma _2} ( (R_c \lambda -1) \gamma ) \right\} f_{\gamma _0}(\gamma ) d\gamma \nonumber \\&= \int \limits ^{\infty }_{0} I_1(R_c \lambda \gamma ) I_2( (R_c \lambda -1) \gamma ) f_{\gamma _0}(\gamma ) d\gamma \nonumber \\&= \frac{1}{(m_0-1)!}\left( \frac{z^S}{G_0}\right) ^{m_0} \sum ^{m_1-1}_{k=0} \sum ^{m_2-1}_{j=0} \frac{1}{k!j!} \left( \frac{z^S R_c \lambda }{G_1}\right) ^k \nonumber \\&\quad \times \left( \frac{z^R (R_c \lambda -1)}{G_2}\right) ^j \int \limits ^{\infty }_{0} e^{-\gamma \left( \frac{z^S R_c \lambda }{G_1} + \frac{z^R (R_c \lambda -1)}{G_2} + \frac{z^S}{G_0} \right) } \gamma ^{k+j+m_0-1} d\gamma . \end{aligned}$$
(22)

Using [21, eq. (3.381.4)], (22) is obtained by

$$\begin{aligned} \mathcal P ^{DF}_A(\lambda )&= \frac{1}{(m_0-1)!}\left( \frac{z^S}{G_0}\right) ^{m_0} \sum ^{m_1-1}_{k=0} \sum ^{m_2-1}_{j=0} \frac{1}{k!j!} \nonumber \\&\quad \times \left( \frac{z^S R_c \lambda }{G_1}\right) ^k \left( \frac{z^R (R_c \lambda -1)}{G_2}\right) ^j \nonumber \\&\quad \times \left( \frac{z^S R_c \lambda }{G_1} + \frac{z^R (R_c \lambda -1)}{G_2} + \frac{z^S}{G_0} \right) ^{-k-j-m_0} \nonumber \\&\quad \times \, \Gamma (k+j+m_0). \end{aligned}$$
(23)

Using \(L_1 = G_1/G_0\) and \(L_2 = G_2/G_0\), (23) can be expressed as (15).

Substituting (9) and (14) into (8), \(\mathcal P ^{DF}_A(\lambda )\) for \(\lambda \le 1/R_c\) is obtained by

$$\begin{aligned} \mathcal P ^{DF}_A(\lambda )&= \int \limits ^{\infty }_{0} \left\{ 1-F_{\gamma _1} ( R_c \lambda \gamma ) \right\} f_{\gamma _0}(\gamma ) d\gamma \nonumber \\&= \frac{1}{(m_0-1)!}\left( \frac{z^S}{G_0}\right) ^{m_0} \sum ^{m_1-1}_{k=0} \frac{1}{k!} \left( \frac{z^S R_c \lambda }{G_1}\right) ^k \nonumber \\&\quad \times \int \limits ^{\infty }_{0} \gamma ^{k+m_0-1} e^{-\gamma \left( \frac{z^S R_c \lambda }{G_1} +\frac{z^S}{G_0} \right) } d\gamma . \end{aligned}$$
(24)

Using [21, eq. (3.381.4)], (24) is then obtained by

$$\begin{aligned} \mathcal P ^{DF}_A(\lambda )&= \frac{1}{(m_0-1)!}\left( \frac{z^S}{G_0}\right) ^{m_0} \sum ^{m_1-1}_{k=0} \frac{1}{k!} \left( \frac{z^S R_c \lambda }{G_1}\right) ^k \nonumber \\&\quad \times \left( \frac{z^S R_c \lambda }{G_1} + \frac{z^S}{G_0} \right) ^{-k-m_0} \Gamma (k+m_0). \end{aligned}$$
(25)

Using \(L_1 = G_1/G_0\) and \(L_2 = G_2/G_0\), (25) can be expressed as (16).

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Lee, IH., Kim, D. Probability Analysis of Capacity Gain by Cooperative Relaying Over Single-Hop OSTBC Transmission in Low SNR Regime. Wireless Pers Commun 75, 293–307 (2014). https://doi.org/10.1007/s11277-013-1363-x

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