Stochastic Geometry Analysis of Spectrum Sharing Among Multiple Seller and Buyer Mobile Operators

TL;DR

This paper uses stochastic geometry to analyze spectrum sharing among multiple seller and buyer mobile operators, deriving key performance metrics and showing how interference limits impact overall network sum-rate.

Contribution

It introduces a stochastic geometry framework for modeling and analyzing non-orthogonal spectrum sharing with interference constraints among multiple MNOs.

Findings

Derived expressions for coverage probability and average rate for seller and buyer networks.

Validated analysis with simulations, confirming accuracy.

Showed how interference thresholds affect total network sum-rate.

Abstract

Sharing the licensed frequency spectrum among multiple mobile network operators (MNOs) is a promising approach to improve licensed spectrum utilization. In this paper, we model and analyze a non-orthogonal spectrum sharing system consisting of multiple seller and multiple buyer MNOs where buyer MNOs lease several licensed sub-bands from different seller MNOs. All base stations (BSs) owned by a buyer MNO can also utilize various licensed sub-bands simultaneously, which are also used by other buyer MNOs. To reduce the interference that a buyer MNO imposes on one seller MNO sharing its licensed sub-band, this buyer MNO has a limitation on the maximum interference caused to the corresponding seller MNO's users. We assume each MNO owns its BSs and users whose locations are modeled as two independent homogeneous Poisson point processes. Applying stochastic geometry, we derive expressions for the downlink signal-to-interference-plus-noise ratio coverage probability and the average rate of both seller and buyer networks. The numerical results validate our analysis with simulation and illustrate the effect of the maximum interference threshold on the total sum-rate of the network.