Two-Tier HetNets with Cognitive Femtocells: Downlink Performance Modeling and Analysis in a Multichannel Environment

被引:102
|
作者
ElSawy, Hesham [1 ]
Hossain, Ekram [1 ]
机构
[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 5V6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Cellular wireless networks; heterogeneous networks (HetNets); cognitive femtocells; interference modeling; stochastic geometry; STOCHASTIC GEOMETRY; CAPACITY; INTERFERENCE;
D O I
10.1109/TMC.2013.36
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:649 / 663
页数:15
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