On the Accuracy of the Wyner Model in Downlink Cellular Networks

Jiaming Xu, Jun Zhang, Jeffrey G. Andrews

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)


Compared to real cellular systems where users are spatially distributed and interference levels vary by several orders of magnitude over a cell, in the Wyner model user locations are fixed and the interference intensity is characterized by a single fixed parameter. Although it is a fairly extreme simplification, the Wyner model has been extensively used to analyze cellular networks. Does it capture some of the main trends of such networks or not? In this study of downlink cellular networks, we show that from an outage point of view, the Wyner model is highly inaccurate since outage is primarily a function of user location. However, in the case of average throughput, the Wyner model may in some special cases be an acceptable simplification if the interference parameter is set appropriately. In particular, we show that it is relatively accurate in terms of the average throughput for CDMA systems with single-cell processing and perfect channel inversion, and for the sum throughput of multicell processing with equal transmit power per user. In short, the Wyner model appears to be a reasonable approximation for SINR mean-based metrics like sum and average throughput for certain scenarios, but is unreasonable in nearly all cases for SINR tail-based metrics like outage probability.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Communications, ICC 2011
Publication statusPublished - 2 Sep 2011
Externally publishedYes
Event2011 IEEE International Conference on Communications, ICC 2011 - Kyoto, Japan
Duration: 5 Jun 20119 Jun 2011

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486


Conference2011 IEEE International Conference on Communications, ICC 2011

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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