Abstract
In this paper the performance of a wireless communications system over shallow underwater acoustic channels is investigated when adaptive modulation and coding techniques with receiver diversity are used. It is assumed that the communication system experiences Ricean shadowed fading. We obtain the analytical figures of the proposed rate-adaptive transmission schemes, emphasizing in the spectral efficiency and the average bit error rate. These analytical expressions are compared to Monte-Carlo simulations corroborating the analytical results.
Similar content being viewed by others
References
Heidemann, J., Stojanovi, M., & Zorzi, M. (2012). Underwater sensor networks: Applications, advances, and challenges. Philosophical Transactions of the Royal Society (A), 370, 158–175.
Akyildiz, I., Pompili, D., & Melodia, T. (2005). Underwater acoustic networks: Research challenges. Ad Hoc Networks (Elsevier), 3, 257–279.
Stojanovic, M., & Preisig, J. (2009). Underwater acoustic communication channels: Propagation models and statistical characterization. IEEE Communications Magazine, 47(1), 84–89.
Stojanovic, M. (2008). Underwater acoustic communications: Design considerations on the physical layer. In Proceedings of IEEE/IFIP fifth annual conference on wireless on demand network systems and services, WONS 2008. Garmisch-Partenkirchen, Germany, 2008 (pp. 1–4).
Stojanovic, M., Catipovic, J. A., & Proakis, J. G. (1993). Adaptive multichannel combining and equalization for underwater acoustic communications. Journal of the Acoustical Society of America, 94(3), 1621–1631.
Goldsmith, A. J., & Chua, S. (1998). Adaptive coded modulation for fading channels. IEEE Transactions on Communications, 46(5), 595–602.
Morelos-Zaragoza, R. H. (2006). The art of error correcting codes. New York: Wiley.
Ruiz-Vega, F., Clemente, M., Otero, P., & Paris, J. (2012). Ricean shadowed statistical characterization of shallow water acoustic channels for wireless communications. In Proceedings of IEEE conference underwater communications: Channel modelling and validation, UComms, Sestri Levante, Italy.
Radosevic, A., Proakis, J. G., & Stojanovic, M. (2009). Statistical characterization and capacity of shallow water acoustic channels. In Proceedings IEEE Oceans Europe Conference, Bremen, Germany.
Karasalo, I., Öberg, T., Nilsson, B., & Ivanssonal, S. (2013). A single-carrier turbo-coded system for underwater communications. IEEE Journal of Oceanic Engineering, 38(4), 666–677.
Yang, T. C. (2007). A study of spatial processing gain in underwater acoustic communications. IEEE Journal of Oceanic Engineering, 32(3), 689–709.
Alfano, G., & Maio, A. D. (2007). Sum of squared shadowed-rice random variables and its application to communications systems performance prediction. IEEE Transactions on Wireless Communications, 6(10), 3540–3545.
Vishwanath, S., & Goldsmith, A. (2003). Adaptive turbo-coded modulation for flat-fading channels. IEEE Transactions on Communications, 51(6), 964–972.
Simon, M. K., & Alouini, M.-S. (2005). Digital communication over fading channels (2nd ed.). Hoboken, NJ: Wiley.
Preisig, J. (2005). Performance analysis of adaptive equalization for coherent acoustic communications in the time-varying ocean environment. The Journal of Acoustical Society of America, 118(1), 263–278.
Chung, S. T., & Goldsmith, A. J. (2001). Degrees of freedom in adaptive modulation: A unified view. IEEE Transactions on Communications, 48(9), 1561–1571.
Kim, I.-M. (2006). Exact BER analysis of OSTBCs in spatially correlated MIMO channels. IEEE Transactions on Communications, 54(8), 1365–1373.
Clemente, M. C., Ruiz-Vega, F., Otero, P., & Paris, F. J. (2011). Closed-form analysis of adapted coded modulation over ricean shadowed fading channels. Electronics Letters, 47(3), 217–218.
Lombardo, P., Fedele, G., & Rao, M. M. (1999). MRC performance for binary signals in Nakagami fading with general branch correlation. IEEE Transactions on Communications, 47(1), 44–52.
Duong, D. V., Øien, G. E., & Hole, K. J. (2006). Adaptive coded modulation with receive antenna diversity and imperfect channel knowledge at receiver and transmitter. IEEE Transactions on Vehicular Technology, 55(2), 458–465.
Wang, C. C. (1998). On the performance of turbo codes. In Proceedings of IEEE military communications conference, MILCOM’98 (pp. 987–9920).
Barbulescu, A. S., Farrel, W., Gray, P., & Rice, M. (1997). Bandwith efficient turbo coding fot high speed mobile satellite communications. In Proceedings of IEEE international symposium turbo codes and related topics (pp. 119–126). Brest, France.
Goff, S. L. , Glavieux, A., & Berrou, C. (1994) Turbo-codes and high spectral efficiency modulation. In Proceedings of IEEE international conference communications (pp. 645–649).
Robertson, P., & WÖrz, T. (1998). Bandwidth-efficient turbo trellis-coded modulation using punctured component codes. IEEE Journal on Selected Areas in Communications, 16(2), 206–218.
Goldsmith, A. J., & Varaiya, P. P. (1997). Capacity of fading channels with channel side information. IEEE Transactions on Information Theory, 43(6), 1986–1992.
Alouini, M. S., & Goldsmith, A. J. (2000). Adaptive modulation over Nakagami fading channels. Wireless Personal Communications, 13, 119–143.
Author information
Authors and Affiliations
Corresponding author
Appendices
Appendix 1: Cumulative Distribution Function
The definition of the CDF is
The property \(\mathcal {L}[{\mathcal {F}}_R(r);s]= \mathcal {L}[f_R(r);s]/s\) of the Laplace transform is used to obtain
The Laplace transform of the probability density function (PDF) and the MGF are related through \({\mathcal {M}}_R(-s)=\mathcal {L}[f_R(r);s]\), which gives the sought expression
Let’s use the function \(\Xi (s)\) in the integrand of (17)
When (4) is used in (18), we have
The function \(\Xi (s)\) has a simple pole at \(p_0=0\), a zero at \(z_0=-x_0\) along with \(L\) poles at \(\{p_k\}_{k=1}^{L}=-\{x_\ell \}_{\ell =1}^L\) of different orders, according to the integer value \(m \ge 0\) and the number \(L\) of channels.
We need to solve the integral in (17). The singularities of \(\Xi (s)\) and the chosen integral contour are shown in Fig. 11
Since the inequality
is satisfied for a value of the radius \(R\) (shown in Fig. 11) large enough and an appropriate constant \(c\), it is true that
Cauchy’s theorem allows the CDF to be written as
where \(\varepsilon >0\). Eventually, the residue theorem allows the CDF to be calculated as the sum of the residues of the function \(\Xi (s)\) at the pole at \(p_0=0\) and the \(L\) poles at \(\{p_k\}_{k=1}^{L}=-\{x_\ell \}_{\ell =1}^L\), that is,
We obtain
Appendix 2: Complementary Moment Generating Function
We need to calculate the complementary MGF of Eq. (8) for \(\gamma _t\). The Laplace transform and its properties are use to arrive to
Let’s define the new function in the integrand of (25)
The new function \(\Xi (p,s)\) has, relative to variable \(p\), a simple pole at \(p_0=0\), a simple or multiple zero at \(z_0=-(x_0-s)\), and \(L\) poles at \(\{p_k\}_{k=1}^{L}=-(\{x_\ell \}_{\ell =1}^{L}-s)\) of different orders, according to the integer value \(m \ge 0\) and the number \(L\) of channels. Compared to (19), a shift of value \(s\) of the zero and multiple poles positions can be observed. Now again, when Cauchy’s and residues theorems are used the function \({\mathcal {G}}_\gamma (s;\zeta )\) is calculated as the sum of the residues of \(\Xi (p,s)\) to obtain
Rights and permissions
About this article
Cite this article
Clemente, M.C., Ruiz-Vega, F., Otero, P. et al. Adaptive Turbo Coded Modulation for Shallow Underwater Acoustic Communications. Wireless Pers Commun 78, 1231–1248 (2014). https://doi.org/10.1007/s11277-014-1814-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-014-1814-z