advancements in the direction of indoor implementation. A femtocell is a low-cost, short-range, and low-power system (also known as home base stations [BSs]) that reduces transmit-receive distance and achieves a higher signal-to-interference-plus-noise ratio (SINR). 1,2 A pedagogical view of the femtocell system, which includes its origin, uplink and downlink modeling, challenges, interference coordination, cell association and biasing, mobility and soft handover, and regulatory aspects, have been presented in Andrews et al. 3 Because of its ease of integration with existing third generation (3G) (code-division multiple access [CDMA]) and fourth generation (4G) (long-term evolution [LTE] advanced) technologies 4,5 and because of its coverage in the cellular dead zone and indoor environments, its demand has increased for a long time. However, the modeling or mitigation of interference 6 and the analysis of interference 7,8 have become more challenging issues for indoor wireless communication.CR is a widely used technology that not only incorporates intelligence into the system but also deals with spectrum scarcity. It was introduced by Mitola and Maguire 9 and defined as a radio system that understands the context of existence in an environment of communication and optimally sets parameters in the communication process. In other studies, 10,11 authors described the cognitive network architecture, characteristics, network components, and overview of its main aspects: spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility. Femtocells and the CR are envisioned as a promising approach in the modern wireless system, and they must be incorporated in future networks. At the same time, random deployment of femtocell BS (FBS) nodes without coordination with macrocell BS (MBS) 12 introduces interference between primary links (link between MBS and macrocell user equipment [MUE]) and secondary links (link between FBS and femtocell user equipment [FUE]). Interference coordination in the described heterogeneous network can be possible by making femtocell nodes intelligent to identify the transmission environment and adjust their configurations. By using CR capabilities, the mutual interference between primary links, ie, the link between MBS and MUE, and secondary links, ie, the link between FUE and FBS, can be restricted. This cognitive feature in femtocell nodes, also known as home eNode BSs (HeNBSs), is called cognitive femtocell networks. 13,14 All the very facts mentioned above are the motivation behind proposing an interference model and presenting various analytical expressions for the estimation of interference for CR-enabled femtocells. However, a complete survey on related works is presented separately in the next section in which the existing advantages and shortcomings are discussed. In addition, major contributions of the current work are listed (which reflect advantages of the proposal) at the end of the next section.