Cognitive Network Interference

By Alberto Rabbachin, Tony Q. S. Quek, Hyundong Shin, Moe Z. Win. IEEE Journal on Selected Areas in Communications, 2011

322 citations recorded by the source corpus.

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Spectrum Decision in Cognitive Radio Networks: A Survey (2013, background): “[41] proposed a statistical model for perdimension (real or imaginary part) aggregate interference of”
Stochastic Geometry for Modeling, Analysis, and Design of Multi-Tier and Cognitive Cellular Wireless Networks: A Survey (2013, methodology): “[84] obtained the characteristic function of the interference and generated the cumulants to approximate the pdf of the aggregate interference caused by the secondary network (technique #3) by a truncated alphastable distribution.”
Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial (2016, background): “In cognitive networks, the performance of primary receivers can be protected by either enlarging the spatial interference protection around the primary receiver or lowering the intensity of simultaneously active secondary users [24].”
Energy Efficient Heterogeneous Cellular Networks (2013, background): “Since both techniques consume power, it is unclear which technique is more energy efficient and how the energy efficiency depends on the intensity of small cells and access policy.”
Throughput Optimization, Spectrum Allocation, and Access Control in Two-Tier Femtocell Networks (2012, background): “Interference modeling in two-tier networks using stochastic geometry has gathered considerable attention due to its 0733-8716/12/$25.00 c 2012 IEEE accuracy and powerfulness [19]–[24].”