@article{SisLab3531,
           month = {April},
          author = {Sinh Cong Lam and Kumbesan Sandrasegaran},
           title = {A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling},
       publisher = {Springer},
         journal = {Wireless Personal Communications},
             doi = {https://doi.org/10.1007/s11277-019-06353-7},
           pages = {1--9},
            year = {2019},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3531/},
        abstract = {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{\ensuremath{>}}2\$\$K{\ensuremath{>}}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 {$\backslash$}backslash\%\$\$34.88\%in the case of the path loss exponent \$\${$\backslash$}backslashalpha = 3\$\${\ensuremath{\alpha}}=3; (2) the effect of the density of BSs on the user association probability is infinitesimal.}
}