@ARTICLE{
   iet:/content/journals/10.1049/el.2016.2378,
   author = {G.P. Efthymoglou},
   affiliation = {               <xhtml:span xml:lang="en">Dept. of Digital Systems, University of Piraeus, Piraeus, Greece</xhtml:span>            },
   author = {P.S. Bithas},
   affiliation = {               <xhtml:span xml:lang="en">Dept. of Digital Systems, University of Piraeus, Piraeus, Greece</xhtml:span>            },
   author = {A.G. Kanatas},
   affiliation = {               <xhtml:span xml:lang="en">Dept. of Digital Systems, University of Piraeus, Piraeus, Greece</xhtml:span>            },
   keywords = {probability density function;SNR;connectivity probability;SIR analysis;cumulative distribution function;interference power;signal-to-noise ratio;Poisson point process wireless random network;computer simulation;node spatial density;path-loss exponent;signal-to-interference ratio;Meijer G-function;broadcast wireless transmission;Poisson wireless networks;},
   ISSN = {0013-5194},
   language = {English},
   abstract = {The probability density function and cumulative distribution function of the received signal-to-noise ratio (SNR) and the received signal-to-interference ratio (SIR), for interference-limited systems is derived, at the nth nearest neighbour node in a Poisson point process wireless random network. The analytical expressions are given in terms of the Meijer G-function and reveal the impact of node spatial density, transmit power, interference power, and path-loss exponent on the connectivity probability of a broadcast wireless transmission. The analytical results are validated with computer simulation.},
   title = {Exact SNR and SIR analysis in Poisson wireless networks},
   journal = {Electronics Letters},
   issue = {5},   
   volume = {53},
   year = {2017},
   month = {March},
   pages = {356-358(2)},
   publisher ={Institution of Engineering and Technology},
   copyright = {© The Institution of Engineering and Technology},
   url = {http://digital-library.theiet.org/content/journals/10.1049/el.2016.2378}
}