On Spectrum Sharing Among Micro-Operators in 5G

TL;DR

This paper models and analyzes spectrum sharing among micro-operators in 5G indoor small cell networks using stochastic geometry, providing insights into coverage probability, data rates, and a greedy algorithm for subband allocation.

Contribution

It introduces a stochastic geometric model for spectrum sharing among micro-operators in 5G, and proposes an algorithm for optimal subband purchase under QoS constraints.

Findings

Derived SINR coverage probability and average data rate for users.

Developed a greedy algorithm for subband selection to meet QoS.

Analyzed interference effects on coverage probability.

Abstract

The growing demand in indoor small cell networks has given rise to the concept of micro-operators (MOs) for local service delivery. We model and analyze a spectrum sharing system involving such MOs where a buyer MO buys multiple licensed subbands provided by the regulator. Also, all small cell base stations (SBSs) owned by a buyer MO can utilize multiple licensed subbands at the same time which are also used by other MOs. A deterministic model in which the location of the SBSs are known can lead to unwieldy problem formulation, when the number of SBSs is large. Subsequently, we adopt a stochastic geometric model of the SBS deployment instead of a deterministic model. Assuming that the locations of the SBSs can be modeled as a homogeneous Poisson point process, we find the downlink signal-to-interference-plus-noise ratio (SINR) coverage probability and average data rate for a typical user (UE) served by the buyer MO in a spectrum sharing environment. In order to satisfy the QoS constraint, we provide a greedy algorithm to find how many licensed subbands and which subband for the buyer MO to purchase from the regulator. We also derive the coverage probability of the buyer MO for interference the limited system.