%0 Journal Article
%@ 1572-834X
%A Lam, Sinh Cong
%A Sandrasegaran, Kumbesan
%D 2019
%F SisLab:3531
%I Springer
%J Wireless Personal Communications
%P 1-9
%T A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3531/
%X 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 $$K>2$$K>2and its close-form expression in the case of $$K=2$$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 $$34.88 \backslash%$$34.88%in the case of the path loss exponent $$\backslashalpha = 3$$α=3; (2) the effect of the density of BSs on the user association probability is infinitesimal.