A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks

• URL: http://arxiv.org/abs/2003.08611v1
• Date: Thu, 19 Mar 2020 07:34:56 GMT
• Title: A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks
• Authors: Hossein S. Ghadikolaei, Hadi Ghauch, Gabor Fodor, Mikael Skoglund, and Carlo Fischione
• Abstract summary: Inter-operator spectrum sharing in millimeter-wave bands has the potential of substantially increasing the spectrum utilization. Traditional model-based spectrum sharing schemes make idealistic assumptions about inter-operator coordination mechanisms. We propose hybrid model-based and data-driven multi-operator spectrum sharing mechanisms.
• Score: 37.00906872828011
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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