Abstract
Inter-operator spectrum sharing in millimeter-wave bands has the potential of substantially increasing the spectrum utilization and providing a larger bandwidth to individual user equipment at the expense of increasing inter-operator interference. Unfortunately, traditional model-based spectrum sharing schemes make idealistic assumptions about inter-operator coordination mechanisms in terms of latency and protocol overhead, while being sensitive to missing channel state information. In this paper, we propose hybrid model-based and data-driven multi-operator spectrum sharing mechanisms, which incorporate model-based beamforming and user association complemented by data-driven model refinements. Our solution has the same computational complexity as a model-based approach but has the major advantage of having substantially less signaling overhead. We discuss how limited channel state information and quantized codebook-based beamforming affect the learning and the spectrum sharing performance. We show that the proposed hybrid sharing scheme significantly improves spectrum utilization under realistic assumptions on inter-operator coordination and channel state information acquisition.
Highlights
M ILLIMETER-WAVE communications appear as a promising solution to support extremely high data rates and low latency services in future wireless networks [1]
We propose a framework to analyze and quantify the benefits of spectrum sharing over exclusive spectrum access for a multi-operator millimeter-wave network
We investigate the gains of beamforming and coordination for spectrum sharing schemes in mmWave networks
Summary
M ILLIMETER-WAVE (mmWave) communications appear as a promising solution to support extremely high data rates and low latency services in future wireless networks [1]. MmWave bands offer a much wider spectrum than the commonly used sub 6-GHz bands, it is still essential to seek an optimal use of the spectrum with the ultimate goal of maximizing the benefits for users while fostering healthy competition in the spectrum market [2] Spectrum sharing addresses these goals by allowing multiple service providers (hereafter called operators) to access the same band for the same or different uses. Spectrum sharing provides substantially more bandwidth to individual operators but gives rise to increased interference levels. This is usually addressed by heavy coordination among the base stations (BSs) and computationally-prohibitive optimization problems. In mmWave networks, large antenna arrays, directional communications, and the unique propagation environment substantially simplify the problem of managing interference in a shared spectrum, making it more feasible [8]
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