Channel simulation with large-scale time evolution in irregular cellular networks

Channel simulation with large-scale time evolution in irregular cellular networks. Kayili, L. & Sousa, E. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 566-570, Sep., 2014.

Paper abstract bibtex

We consider a cellular network where base stations with widely different power capabilities (power subclasses) are deployed in a highly inhomogeneous or irregular pattern-referred to in this work as an irregular cellular network. A simulation framework with slow scale time variation appropriate for irregular networks is proposed. A relevant resource allocation framework as well as shadowing and path loss models are discussed. Finally, the time evolution methodology is detailed. It is believed that the proposed simulation framework will be important in the evaluation of slowly adaptive algorithms such as those studied as part of 3GPP LTE Self Organizing Networks (SON).

@InProceedings{6952152,
  author = {L. Kayili and E. Sousa},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Channel simulation with large-scale time evolution in irregular cellular networks},
  year = {2014},
  pages = {566-570},
  abstract = {We consider a cellular network where base stations with widely different power capabilities (power subclasses) are deployed in a highly inhomogeneous or irregular pattern-referred to in this work as an irregular cellular network. A simulation framework with slow scale time variation appropriate for irregular networks is proposed. A relevant resource allocation framework as well as shadowing and path loss models are discussed. Finally, the time evolution methodology is detailed. It is believed that the proposed simulation framework will be important in the evaluation of slowly adaptive algorithms such as those studied as part of 3GPP LTE Self Organizing Networks (SON).},
  keywords = {3G mobile communication;cellular radio;resource allocation;channel simulation;large scale time evolution;irregular cellular networks;resource allocation framework;time evolution methodology;3GPP LTE self organizing networks;Shadow mapping;Adaptation models;Resource management;Long Term Evolution;Fading;Heuristic algorithms;Wireless communication;autonomous cellular networks;irregular cellular networks;wireless channel simulation;self organizing networks (SON);wireless network dynamics},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569951089.pdf},
}

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