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arXiv · 2003.02339

Statistical Modelling of Dynamic Interference Threshold and Its Effect on Network Capacity

Amit Kachroo·Sabit Ekin·Ali Imran
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Abstract

In this paper, we present the case of utilizing interference temperature (IT) as a dynamic quantity rather than as a fixed quantity in an orthogonal frequency division multiple access (OFDMA) based spectrum sharing systems. The fundamental idea here is to reflect the changing capacity demand of primary user (PU) over time in setting the interference power threshold for secondary user (SU). This type of dynamic IT will allow the SU to opportunistically have higher transmit power during relaxed IT period, thereby resulting in higher network capacity. The cognitive radio network (CRN) considered in this paper has an underlay network configuration in which the available spectrum of the PU is accessed concurrently by SU provided that the interference power at the PU receiver from SU is under a certain power threshold. This power threshold is set to maintain and guarantee a certain level of quality of service (QoS) for PU network. Theoretical expressions for outage probability and mean capacity for SU network are derived, and validated with simulation results, and it is observed that utilizing dynamic IT results in high network performance gains as compared to utilizing a fixed IT in cognitive radio system.

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Amit Kachroo, Sabit Ekin, Ali Imran. 2020-03-04. Statistical Modelling of Dynamic Interference Threshold and Its Effect on Network Capacity. https://doi.org/10.1109/tvt.2020.2979047

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