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2 - Wireless network models

Published online by Cambridge University Press:  05 March 2016

Guowang Miao
Affiliation:
KTH Royal Institute of Technology, Stockholm
Jens Zander
Affiliation:
KTH Royal Institute of Technology, Stockholm
Ki Won Sung
Affiliation:
KTH Royal Institute of Technology, Stockholm
Slimane Ben Slimane
Affiliation:
KTH Royal Institute of Technology, Stockholm
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Summary

Introduction

Looking at classical communication theory, we see that it mainly deals with point-to-point links disturbed by thermal (Gaussian) noise. More recently the challenges of mobile communication have introduced features such as adverse, time-varying propagation conditions which create channel variations that are difficult to predict. Radio systems, as we find them in reality, have to cope with additional problems. Maybe the most characteristic feature of modern radio communication is that virtually no radio link or radio system operates in isolation, and is thus never alone in its allocated frequency band. Other radio transmitters, near and far, constantly cause interference. Interference is in many cases the limiting factor to the performance of the system. Since the days of Marconi, the proliferation of wireless communications has caused a tremendous increase in the utilization of the frequency spectrum. A key problem area, as was already noted in Chapter 1, is how to manage the frequency spectrum to avoid, or at least minimize, the adverse effects of interference. Can interference be avoided completely, or are there efficient methods to minimize the performance degradation? The ether, where we transmit our signals, is, whether intended or not, a broadcast medium. In some geographical regions, a large number of wireless networks have to coexist as illustrated in Figure 2.1. The blessing of wireless communication is that it allows for quickly establishing arbitrary new connections between a large number of users. In Figure 2.1, we consider three transmitters transmitting information to three different receivers indicated by the solid black arrows. We call these paths the active communication links. As the radio spectrum is shared by all users the transmissions of the three transmitters in Figure 2.1 give rise to interference. These unwanted cross-links, the interference links, are indicated by the light gray arrows in the figure.

The properties of the interference will depend on the waveforms and transmitter powers selected by the interfering transmitters as well as the propagation conditions on the cross-links. The impact on the performance of the active communication link will depend not only on the waveforms, the powers and the propagation conditions in the active link but also on the performance of the radio receiver, e.g. how good the receiver is at suppressing the unwanted signals. The performance experienced by the user in this network will depend on the type of service that is provided.

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Publisher: Cambridge University Press
Print publication year: 2016

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References

3GPP. 1999 (December). 3GPP specification. TS 23.107. 3rd Generation Partnership Project (3GPP).
P., Schramm, H., Andreasson, C., Edholm, N., Edvardsson, M., Hook, S., Javerbring, F., Muller and J., Skold. 1998. Radio interface performance of EDGE, a proposal for enhanced data rates in existing digital cellular systems. Proc. 48th IEEE Vehicular Technology Conference, Ottawa, Canada, vol. 2, 1064–1068.

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  • Wireless network models
  • Guowang Miao, KTH Royal Institute of Technology, Stockholm, Jens Zander, KTH Royal Institute of Technology, Stockholm, Ki Won Sung, KTH Royal Institute of Technology, Stockholm, Slimane Ben Slimane, KTH Royal Institute of Technology, Stockholm
  • Book: Fundamentals of Mobile Data Networks
  • Online publication: 05 March 2016
  • Chapter DOI: https://doi.org/10.1017/CBO9781316534298.003
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  • Wireless network models
  • Guowang Miao, KTH Royal Institute of Technology, Stockholm, Jens Zander, KTH Royal Institute of Technology, Stockholm, Ki Won Sung, KTH Royal Institute of Technology, Stockholm, Slimane Ben Slimane, KTH Royal Institute of Technology, Stockholm
  • Book: Fundamentals of Mobile Data Networks
  • Online publication: 05 March 2016
  • Chapter DOI: https://doi.org/10.1017/CBO9781316534298.003
Available formats
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  • Wireless network models
  • Guowang Miao, KTH Royal Institute of Technology, Stockholm, Jens Zander, KTH Royal Institute of Technology, Stockholm, Ki Won Sung, KTH Royal Institute of Technology, Stockholm, Slimane Ben Slimane, KTH Royal Institute of Technology, Stockholm
  • Book: Fundamentals of Mobile Data Networks
  • Online publication: 05 March 2016
  • Chapter DOI: https://doi.org/10.1017/CBO9781316534298.003
Available formats
×