Communication-Free Inter-Operator Interference Management in Shared Spectrum Small Cell Networks

Abstract

Emergence of shared spectrum such as CBRS 3.5 GHz band promises to broaden the mobile operator ecosystem and lead to proliferation of small cell deployments. We consider the inter-operator interference problem that arises when multiple small cell networks access the shared spectrum. Towards this end, we take a novel communication-free approach that seeks implicit coordination between operators without explicit communication. The key idea is for each operator to sense the spectrum through its mobiles to be able to model the channel vacancy distribution and extrapolate it for the next epoch. We use reproducing kernel Hilbert space kernel embedding of channel vacancy and predict it by vector-valued regression. This predicted value is then relied on by each operator to perform independent but optimal channel assignment to its base stations taking traffic load into account. Via numerical results, we show that our approach, aided by the above channel vacancy forecasting, adapts the spectrum allocation over time as per the traffic demands and more crucially, yields as good as or better performance than a coordination based approach, even without accounting the overhead of the latter.

Iris: Deep Reinforcement Learning Driven Shared Spectrum Access Architecture for Indoor Neutral-Host Small Cells

“…Spectrum sharing without infrastructure sharing. The allocation of shared spectrum has also been considered in settings where operators deploy independent infrastructures [44]- [50].…”

“…Spectrum sharing without infrastructure sharing. The allocation of shared spectrum has also been considered in settings where operators deploy independent infrastructures [44]- [50]. Some works assume that participating operators have predetermined agreements regarding their priority for accessing the spectrum in cases of congestion (e.g., [44]), while others focus on the architectural aspect of the system (e.g., [46]) or on the coordination among operators (e.g., [48], [49]).…”

Intelligent Spectrum Sensing Algorithm for Cognitive Internet of Vehicles Based on KPCA and Improved CNN

“…Specifically, applying the CR technology to the 5G IoV networks can effectively alleviate the poor spectrum utilization. Tashman and Hamouda outlined future research directions for cognitive radio [5], whereas Hasan and Marina analyzed the problem of spectrum sharing [6]. Pei et al tackled the spectrum sharing problem by proposing a Q-learning energy threshold optimization algorithm [7].…”