Treating Interference as Noise in Cellular Networks: A Stochastic Geometry Approach

The interference management technique that treats interference as noise (TIN) is optimal when the interference is sufficiently weak. Scheduling algorithms based on the TIN optimality condition have recently been proposed, e.g., for application to device-to-device communications. TIN, however, has ne...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2020-03, Vol.19 (3), p.1918-1932
Main Authors: Bacha, Mudasar, Di Renzo, Marco, Clerckx, Bruno
Format: Article
Language:English
Subjects:
Algorithms
Cellular communication
Cellular networks
Engineering Sciences
Geometry
Interference
Noise
Optimization
Parameters
Poisson point processes
Probability theory
Scheduling
Scheduling algorithms
Signal and Image processing
Signal to noise ratio
stochastic geometry
system level analysis
Tin
Treating interference as noise (TIN)
user scheduling
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Summary:The interference management technique that treats interference as noise (TIN) is optimal when the interference is sufficiently weak. Scheduling algorithms based on the TIN optimality condition have recently been proposed, e.g., for application to device-to-device communications. TIN, however, has never been applied to cellular networks. In this work, we propose a scheduling algorithm for application to cellular networks that is based on the TIN optimality condition. In the proposed scheduling algorithm, each base station (BS) first randomly selects a user equipment (UE) in its coverage region, and then checks the TIN optimality conditions. If the latter conditions are not fulfilled, the BS is turned off. In order to assess the performance of TIN applied to cellular networks, we introduce an analytical framework with the aid of stochastic geometry theory. We develop, in particular, tractable expressions of the signal-to-interference-and-noise ratio (SINR) coverage probability and average rate of cellular networks. In addition, we carry out asymptotic analysis to find the optimal system parameters that maximize the SINR coverage probability. By using the optimized system parameters, it is shown that TIN applied to cellular networks yields significant gains in terms of SINR coverage probability and average rate. Specifically, the numerical results show that average rate gains of the order of 21% over conventional scheduling algorithms are obtained.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2019.2959773