Stochastic Geometry Analysis of Spectrum Sharing Among Multiple Seller and Buyer Mobile Operators
Elaheh Ataeebojd, Mehdi Rasti, Hossein Pedram, and Pedro H. J., Nardelli

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…
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Taxonomy
TopicsWireless Communication Networks Research · Advanced MIMO Systems Optimization · ICT Impact and Policies
