Two-Tier HetNets with Cognitive Femtocells: Downlink Performance Modeling and Analysis in a Multichannel Environment
Issue No. 03 - March (2014 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2013.36
Hesham ElSawy , Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
Ekram Hossain , Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
In a two-tier heterogeneous network (HetNet) where femto access points (FAPs) with lower transmission power coexist with macro base stations (BSs) with higher transmission power, the FAPs may suffer significant performance degradation due to inter-tier interference. Introducing cognition into the FAPs through the spectrum sensing (or carrier sensing) capability helps them avoiding severe interference from the macro BSs and enhance their performance. In this paper, we use stochastic geometry to model and analyze performance of HetNets composed of macro BSs and cognitive FAPs in a multichannel environment. The proposed model explicitly accounts for the spatial distribution of the macro BSs, FAPs, and users in a Rayleigh fading environment. We quantify the performance gain in outage probability obtained by introducing cognition into the femto-tier, provide design guidelines, and show the existence of an optimal spectrum sensing threshold for the cognitive FAPs, which depends on the HetNet parameters. We also show that looking into the overall performance of the HetNets is quite misleading in the scenarios where the majority of users are served by the macro BSs. Therefore, the performance of femto-tier needs to be explicitly accounted for and optimized.
Sensors, Interference, Femtocells, Analytical models, Probability, Downlink, Computational modeling,stochastic geometry, Cellular wireless networks, heterogeneous networks (HetNets), cognitive femtocells, interference modeling
Hesham ElSawy, Ekram Hossain, "Two-Tier HetNets with Cognitive Femtocells: Downlink Performance Modeling and Analysis in a Multichannel Environment", IEEE Transactions on Mobile Computing, vol. 13, no. , pp. 649-663, March 2014, doi:10.1109/TMC.2013.36