Connectivity in Wireless Networks

  • Seyed Javad KazemitabarEmail author
Part of the Signals and Communication Technology book series (SCT)


In the previous chapters, we tried to find methods to cope with interference in a wireless network in different layers. However, regardless of what method we use, the interference has impacts on the connectivity of the network. We sure want to have a connected network all the time. The question then will be whether this is possible or not. In this chapter we first define a few connectivity measures and then investigate the connectivity of a network based on those metrics.


Probability Density Function Medium Access Control Fading Channel Outage Probability MIMO Channel 
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.


  1. 10.
    S.M. Alamouti, A simple transmitter diversity scheme for wireless communications. IEEE J. Select. Areas Commun. 16, 1451–1458 (1998) CrossRefGoogle Scholar
  2. 11.
    V. Tarokh, H. Jafarkhani, A.R. Calderbank, Space-time block codes from orthogonal designs. IEEE Trans. Inf. Theory 45, 1456–1467 (1999) MathSciNetzbMATHCrossRefGoogle Scholar
  3. 20.
    E. Telatar, Capacity of multiantenna Gaussian channels. AT&T-Bell Lab. Internal Tech. Memo (1995) Google Scholar
  4. 25.
    H. Jafarkhani, Space-Time Coding: Theory and Practice (Cambridge University Press, Cambridge, 2005) CrossRefGoogle Scholar
  5. 45.
    J. Kazemitabar, H. Yousefi’zadeh, H. Jafarkhani, Impact of physical layer parameters on connectivity of ad hoc networks, in Proc. IEEE ICC, 2006 Google Scholar
  6. 46.
    H. Jafarkhani, H. Yousefi’zadeh, J. Kazemitabar, Capacity-based connectivity of MIMO fading ad hoc networks, in Proc. IEEE Globecom, 2005 Google Scholar
  7. 59.
    G.J. Foschini, M.J. Gans, On limits of wireless communication in a fading environment when using multiple antennas. Wirel. Pers. Commun. 6, 311–335 (1998) CrossRefGoogle Scholar
  8. 62.
    J.F.C. Kingman, Poisson Processes (Oxford University Press, London, 1993). ISBN: 0198536933 zbMATHGoogle Scholar
  9. 63.
    M. Kang, M.-S. Alouini, G.E. Oien, How accurate are the Gaussian and gamma approximations to the outage capacity of MIMO channels? in Proc. Baiona Workshop on Signal Processing in Communications, 2003 Google Scholar
  10. 64.
    A. Papoulis, S.U. Pillai, Probability, Random Variables, and Stochastic Processes, 4th edn. (McGraw-Hill, New York, 2002). ISBN:0071122567 Google Scholar
  11. 68.
    M.K. Simon, M.S. Alouini, Digital Communication over Fading Channels: A Unified Approach to Performance Analysis (Wiley, New York, 2000). ISBN:0471317799 CrossRefGoogle Scholar
  12. 69.
    H. Shin, J.H. Lee, Closed-form formulas for ergodic capacity of MIMO Rayleigh fading channels, in Proc. IEEE ICC, 2003 Google Scholar
  13. 71.
    H. Yousefi’zadeh, H. Jafarkhani, M. Moshfeghi, Power optimization of wireless media systems with space-time block codes. IEEE Trans. Image Process. 13(7), 873–884 (2004) CrossRefGoogle Scholar
  14. 72.
    L. Zheng, H. Yousefi’zadeh, H. Jafarkhani, Resource allocation in fading wireless ad-hoc networks with temporally correlated loss, in Proc. IEEE WCNC, 2004 Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Dept. of EE and CSUniversity of California IrvineIrvineUSA

Personalised recommendations