Congestion Measures and Capacity Constraints in Spread Spectrum Networks

  • Stephen Hanly
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 366)


When can a call be admitted to a radio network and when should it be blocked due to congestion in the network? In order to answer such a question, we need to be able to compute traffic constraints that are imposed by quality of service considerations. This is a nontrivial problem with an interesting spatial aspect, as users are distributed amongst the receivers, and may be in motion. The great benefit of spread spectrum is that the traffic constraints turn out to be “macroscopic”, in the sense that the constraints are only imposed on the overall traffic in relatively large geographical areas. This averaging over space is a form of statistical multiplexing, and simplifies the analysis of mobility, fading, and burstiness, although we do not directly consider these issues in the present paper. It implies that we can dimension a network, and control the admission of calls, without needing to predict at call admission the future fading levels of individual mobiles throughout the lifetimes of their calls.


Spread Spectrum Directional Antenna Unique Fixed Point Interference Level Maximum Interference 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Hanly, S.V. (1993) Information capacity of radio networks Ph. D. Thesis, Cambridge University August.Google Scholar
  2. [2]
    Hanly S. V. (1995) An algorithm for combined cell-site selection and power control to maximize cellular spread spectrum capacity IEEE Journal on Selected Areas, special issue on the fundamentals of networking, Vol. 13, No. 7 September.Google Scholar
  3. [3]
    Hanly, S.V. (1996) Capacity and power control in spread spectrum macrodiver-sity radio networks. IEEE Trans. on Communications, Vol. 44, No. 2 Feb.Google Scholar
  4. [4]
    Hanly, S.V. Congestion measures and traffic constraints in spread spectrum networks submitted for publication Google Scholar
  5. [5]
    Seneta E. (1981) Non-negative matrices and markov chains Springer-Verlag.zbMATHGoogle Scholar
  6. [6]
    Mobile station — base station compatibility standard for dual-mode wide-band spread spectrum cellular systems (IS95 standard).Google Scholar

Copyright information

© Kluwer Academic Publishers, Boston 1996

Authors and Affiliations

  • Stephen Hanly
    • 1
  1. 1.Dept. Electrical and Electronic EngineeringUniversity of MelbourneParkvilleAustralia

Personalised recommendations