Abstract
Building simulation models and running (executing) simulations are activities that call upon a wide variety of skills and considerations which, for present purposes, we might divide into two broad categories: the “art” and the “science” of simulation. In the latter camp we include the more theoretically based and quantitative aspects which have formed the bulk of the preceding chapters. On the other hand, there is a set of considerations only partially or perhaps not at all related to theoretical or quantifiable matters, or difficult to describe in such terms, that are nevertheless fundamental in building simulations and in obtaining useful results. This set we might regard as the “art” of simulation. These latter considerations and ways of dealing with them essentially form the methodology of simulation. The dividing line between “art” and “science” is somewhat subjective, but is not critical, in any case. In this chapter we discuss several issues that we classify as methodological.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
K. S. Shanmugan, An update on software packages for simulation of communication systems (links), IEEE J. Selected Areas Commun. 6(1), 5–12 (1988).
R. A. Harris and P. Kristiansen, The generation and use of bit error rate surface plotsIEEE J. Selected Areas Commun. SAC- 2(1), 185–190 (1984).
L. C. Palmer and S. Lebowitz, Including synchronization in time-domain channel simulation, COMSAT Tech. Rev. 7(2), 475–525 (1977).
I. Richer, A block phase estimator for offset-QPSK signaling, Proc. National Telecommun. Conf., New Orleans, LA, Dec., 1975.
M. C. Jeruchim, Some modeling aspects in the simulation of digital links, Proc. International Telemetering Conf., Los Angeles, CA, Nov. 14–16, 1978.
W. C. Lindsey and C. M. Chie, A survey of digital phase-locked loops, Proc. IEEE 69(4), 410–431 (1981).
S. C. Gupta, Phase-locked loops, Proc. IEEE 63(2), 291–306 (1975).
R. E. Crochiere and L. R. Rabiner, Multirate Digital Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 1983.
M. Pent, L. LoPresti, M. Mondin, and L. Zaccagnini, Multirate sampling techniques for simulation of communication systems, IASTED Int. Symp. on Modeling, Identification, and Control, Grindewald, Switzerland, February, 1987.
V. Castellani, M. Mondin, M. Pent, and P. Secchi, Simulation of spread spectrum communication links, Presented at 2nd IEEE International Workshop on Computer-Aided Modeling, Analysis, and Design of Communication Links and Networks, Amherst, MA, October 12–14, 1988.
R. Blum and M. C. Jeruchim, Modeling nonlinear amplifiers for communication simulation, Proc. Int. Conf. Commun. (ICC ‘89), Boston, MA, June 11–15, 1989.
D. Stapor and D. Hayes, On the number of symbols processed in quasianalytic communications link simulation, Presented at 2nd IEEE International Workshop on Computer-Aided Modeling, Analysis, and Design of Communication Links and Networks, Amherst, MA, October 12–14, 1988.
J. G. Proakis, Digital Communications, McGraw-Hill, New York (1983).
M. L. Steinberger, P. Balaban, and K. S. Shanmugan, On the effects of uplink noise, Conf. Red. Int. Conf. Commun. (ICC ‘81), Denver, CO, June 10–14, 1981.
M. Pent, L. LoPresti, G. D’Aria, and G. DeLuca, Semianalytic BER estimation by simulation for nonlinear bandpass channels, IEEE J. Selected Areas Commun. 6(1), 34–41 (1988).
D. J. Torrieri, The information-bit error rate for block codes, IEEE Trans. Commun.COM-32(4), 474–476 (1984).
M. C. Jeruchim, On the coding gain for degraded channels,IEEE Trans. Commun.COM-34(5), 492–496 (1986).
A. J. Viterbi, Convolutional codes and their performance in communication systems, IEEE Trans. Commun. Technol . ÇOM-19(5), 751–772 (1971) (Part II).
M. C. Jeruchim and T. J. Kiandrud, On the steady-state simulation of equalized digital communications links, Conf. Rcd. IEEE Global Telecommun. Conf., New Orleans, LA, Dec. 2–5, 1985, Vol. I.
C. A. Belfiore and J. H. Park, Decision feedback equalization, Proc.. IEEE 67 (8), 1143–1156 (1979).
J. A. Nelder and R. Mead, A simplex method for function minimization, Comput. J. 7, 308–383 (1965).
D. M. Jansky and M. C. JeruchimCommunication Satellites in the Geostationary Orbit, Artech House, Norwood, MA (2nd Ed.) (1987).
V. K. Prabhu, Error rate considerations for coherent phase-shift-keyed systems with co-channel interference, Bell Syst. Tech. J. 48 (3), 743–767 (1969).
S. Benedetto, E. Biglieri, and V. Castellani, Combined effects of intersymbol. interchannel,. and co-channel interference in M-ary CPSK systems,IEEE Trans. Commun.COM-21(9), 997–1008 (1973).
E. L. Pinto and J. C. Brandão, On the efficient use of computer simulated digital signals to evaluate performance parameters, IEEE J. Selected Areas Commun. 6(1), 52–57 (1988).
G. S. Fishman,Concepts and Methods in Discrete Event Digital Simulation, J. Wiley and Sons, New York (1973) Chap. 7.
D. E. Knuth, The Art of Computer Programming, 2nd Ed., Vol. 2, Seminumerical Algorithms,Addison-Wesley, Reading, MA (1981).
Stephen K. Park and K. W. Miller, Random number generators: Good ones are hard to find, Commun. ACM 31 (10),1192–1201 (1988).
J. H. Moore and M. C. Jeruchim, Empirical study on the variability of Monte Carlo simulation, Proc. Int. Telemetering Conf., San Diego, CA, October 14–16,1980.
A. Papoulis,Signal Analysis, McGraw-Hill, New York (1977).
Special Issue on Frequency Stability, Proc. IEEE 54(2), February (1966).
B. Mandelbrot, Some noises with 1/f spectrum; A bridge between direct current and white noise, IEEE Trans. Inf. Theory IT- 13 (2), 289–298 (1967).
B. Mandelbrot and J. W. VanNess, Fractional Brownian motions, fractional noises, and applications, SIAM Rev . 10(4), 422–437 (1968).
W. C. Lindsey and C. M. Chie, Theory of oscillator instability based on structure functions, Proc. IEEE 64 (12), 1652–1666 (1976).
M. S. Keshner, 1/f Noise, Proc. IEEE 70 (3), 212–218 (1982).
J. Rutman, Characterization of phase and frequency instabilities in precision frequency sources: Fifteen years of progress, Proc. IEEE 66 (9), 1048–1075 (1978).
M. L. Liou, Noise in an FM system due to an imperfect linear transducer, Bell Syst. Tech. J. 45, 1537–1561 (1966).
T. G. Cross, Intermodulation in FM systems due to transmission deviations and AM/PM conversion, Bell Syst. Tech. J. 45, 1749–1773 (1966).
J. G. Garrison, Intermodulation distortion in frequency-division-multiplex FM systems-A tutorial summary, IEEE Trans. Commun. Technol . COM-16(2), 289–303. (1968).
F. J. Scire, A probability density function theorem for the modulo Y values of the sum of two statistically independent processes, Proc. IEEE (Lett.) 56(2), 204–205 (1968). [See also Proc. IEEE Lett. 58(4), 604 (1970).]
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer Science+Business Media New York
About this chapter
Cite this chapter
Jeruchim, M.C., Balaban, P., Shanmugan, K.S. (1992). Simulation and Modeling Methodology. In: Simulation of Communication Systems. Applications of Communications Theory. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3298-9_6
Download citation
DOI: https://doi.org/10.1007/978-1-4615-3298-9_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6451-1
Online ISBN: 978-1-4615-3298-9
eBook Packages: Springer Book Archive