Fast Cell Discovery in mm-Wave 5G Networks with Context Information - 2018


The exploitation of mm-wave bands is one amongst the key-enabler for 5G mobile radio networks. However, the introduction of mm-wave technologies in cellular networks is not simple because of harsh propagation conditions that limit the mm-wave access availability. Mm-wave technologies require high-gain antenna systems to compensate for prime path loss and limited power. As a consequence, directional transmissions should be used for cell discovery and synchronization processes: this could cause a non-negligible access delay caused by the exploration of the cell area with multiple transmissions along completely different directions. The integration of mm-wave technologies and conventional wireless access networks with the target of dashing up the cell search method requires new 5G network architectural solutions. Such architectures introduce a practical split between C-plane and U-plane, thereby guaranteeing the availability of a reliable signaling channel through conventional wireless technologies that has the opportunity to gather useful context data from the network edge. In this text, we leverage the context info related to user positions to enhance the directional cell discovery process. We investigate fundamental trade-offs of this method and the effects of the context information accuracy on the overall system performance. We conjointly cope with obstacle obstructions within the cell space and propose an approach based mostly on a geo-located context database where data gathered over time is stored to guide future searches. Analytic models and numerical results are provided to validate proposed strategies.

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