TY  - INPR
ID  - SisLab3531
UR  - https://link.springer.com/journal/11277
A1  - Lam, Sinh Cong
A1  - Sandrasegaran, Kumbesan
Y1  - 2019/04//
N2  - 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 $$\backslashalpha = 3$$?=3; (2) the effect of the density of BSs on the user association probability is infinitesimal.
PB  - Springer
JF  - Wireless Personal Communications
SN  - 1572-834X
TI  - A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling
SP  - 1
AV  - public
EP  - 9
ER  -