Further results on the capacity of free-space optical channels in turbulent atmosphere

Further results on the capacity of free-space optical channels in turbulent atmosphere

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

In recent studies, the average capacity for optimal rate adaptation (ORA) of free-space optical channels in turbulent atmosphere has been derived in closed form, mainly based on the application of Meijer's G-function. To this end, the channel was assumed to be memoryless, stationary and ergodic, with independent and identically distributed fading statistics. It was also assumed that scintillations follow a gamma–gamma distribution so as to appropriately describe moderate-to-strong turbulence conditions. In the current contribution, the author will extend this work in two aspects: (i) using the properties of Meijer's G-function, it is shown that the average capacity provides also a closed-form solution for adaptation policies other than ORA, namely optimal power and rate adaptation, channel inversion with fixed rate and truncated channel inversion with fixed rate; (ii) if the additional loss caused by a misalignment between transmitter and receiver (pointing error) is taken into account, it is demonstrated that the developed analytical framework applies straightforwardly.


    1. 1)
      • H. Willebrand , B.S. Ghuman . (2002) Free-space optics: enabling optical connectivity in today's networks.
    2. 2)
      • L.C. Andrews , R.L. Phillips . (2005) Laser beam propagation through random media.
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
      • N. Abramowitz , I. Stegun . (1965) Handbook of mathematical functions.
    21. 21)
    22. 22)
      • Adamchik, V.S., Marichev, O.I.: `The algorithm for calculating integrals of hypergeometric type functions and its realization in Reduce system', Proc. Int. Symp. Symbolic and Algebraic Computation, August 1990, Tokyo, Japan, p. 212–224.
    23. 23)
      • A.P. Prudnikov , Y.A. Brychkov , O.I. Marichev . (1990) Integrals and series: more special functions.
    24. 24)
      • W.H. Press , S.A. Teukolsky , W.T. Vetterling , B.P. Flannery . (1994) Numerical recipes in C: the art of scientific computing.

Related content

This is a required field
Please enter a valid email address