Characterization of aggregate interference in arbitrarily-shaped underlay cognitive networks
This paper characterizes the aggregate interference at the primary user (PU) due to M secondary users (SUs) in an underlay cognitive network, where appropriate SU activity protocols are employed in order to limit the interference generated by the SUs. Different from prior works, we assume that the PU can be located anywhere inside an arbitrarily-shaped convex network region. Using the moment generating function (MGF) of the interference from a random SU, we derive general expressions for the...[Show more]
|Collections||ANU Research Publications|
|Source:||2014 IEEE Global Communications Conference, GLOBECOM 2014|
|01_Guo_Characterization_of_aggregate_2014.pdf||414.92 kB||Adobe PDF||Request a copy|
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