A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling
- 4 Downloads
This paper proposes a model based on a random cellular network to analyse performance of Joint Scheduling in which a typical user measures signal-to-interference-plus-noise ratio (SINR) on different resource blocks from K nearest BSs in order to find out the BS with the highest SINR to establish communication. The paper derives the general form of average coverage probability of a typical user in the case of \(K>2\) and its close-form expression in the case of \(K=2\). The analytical results which are verified by Monte Carlo simulation indicates that (1) using the Joint Scheduling can improve the user’s performance up to \(34.88 \%\) in the case of the path loss exponent \(\alpha = 3\); (2) the effect of the density of BSs on the user association probability is infinitesimal.
KeywordsPoisson point process Joint scheduling Coverage probability
- 1.3GPP TR 36.819 V11.1.0. (2011). Coordinated multi-point operation for LTE physical layer aspects.Google Scholar
- 4.Bassoy, S., Farooq, H., Imran, M. A., & Imran, A. (2017). Coordinated multi-point clustering schemes: A survey. IEEE Communications Surveys Tutorials, 99, 1–1.Google Scholar
- 8.Andrews, J. G., Baccelli, F., & Ganti, R. K. (2010). A new tractable model for cellular coverage. In 2010 48th Annual Allerton conference on communication, control, and computing (Allerton) (pp. 1204–1211).Google Scholar