Optimizing small cell deployment by the use of C-RANs

A Cloud Radio Access Network (C-RAN) is a novel mobile network architecture that has the potential to support extremely dense mobile network deployments enhancing the network capacity while offering cost savings on baseband resources. In this work we analyze cell traffic profiles and evaluate the conditions that impact the statistical multiplexing gain in the Baseband Unit (BBU) Pool. We conclude on the set of parameters that maximize the statistical multiplexing gain, leading to the highest potential cost savings. We then propose a packet based architecture that can adapt to changing traffic conditions. Furthermore, based on theoretical calculations and network simulations we present considerations on deployment scenarios to optimize green field deployments in terms of Total Cost of Ownership (TCO). This involves optimizing the mix of cells with different traffic profiles and the BBU Pool positioning in order to reduce the number of required BBUs as well as the required fiber.

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