CLC number: TP393
On-line Access: 2014-12-23
Received: 2014-04-10
Revision Accepted: 2014-10-28
Crosschecked: 2014-12-12
Cited: 3
Clicked: 7418
Tao Huang, Ying-lei Teng, Meng-ting Liu, Jiang Liu. Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(1): 1-11.
@article{title="Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing",
author="Tao Huang, Ying-lei Teng, Meng-ting Liu, Jiang Liu",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="16",
number="1",
pages="1-11",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1400129"
}
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%T Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing
%A Tao Huang
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%A Meng-ting Liu
%A Jiang Liu
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1400129
TY - JOUR
T1 - Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing
A1 - Tao Huang
A1 - Ying-lei Teng
A1 - Meng-ting Liu
A1 - Jiang Liu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 16
IS - 1
SP - 1
EP - 11
%@ 2095-9184
Y1 - 2015
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1400129
Abstract: Due to irregular deployment of small base stations (SBSs), the interference in cognitive heterogeneous networks (CHNs) becomes even more complex; in particular, the uncertainty of spectrum mobility aggravates the interference context. In this case, how to analyze system capacity to obtain a closed-form expression becomes a crucial problem. In this paper we employ stochastic methods to formulate the capacity of CHNs and achieve a closed-form expression. By using discrete-time markov chains (DTMCs), the spectrum mobility with respect to the arrival and departure of macro base station (MBS) users is modeled. Then an integral method is proposed to derive the interference based on stochastic geometry (SG). Also, the effect of sensing accuracy on network capacity is discussed by concerning false-alarm and miss-detection events. Simulation results are illustrated to show that the proposed capacity analysis method for CHNs can approximate the conventional sum methods without rigorous requirement for channel station information (CSI). Therefore, it turns out to be a feasible and efficient way to capture the network capacity in CHNs.
This paper employs the divide-and-conquer strategy, deriving the spectrum usage opportunity by the DTMC, and managing to approximate the aggregated interference by an integral method. The idea of the application of stochastic geometry in HetNet is timely and interesting.
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