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Stochastic models of base station infrastructure deployment by multiple mobile operators can be an invaluable tool for deriving fundamental results about wireless network sharing. In this paper, we study stochastic geometry models for a shared cellular network consisting of base stations deployed by multiple mobile operators, based on real cellular network data coming from three European countries...
We envision small cells mounted on unmanned aerial vehicles, to complement existing macrocell infrastructure. We demonstrate through numerical analysis that clustering algorithms can be used to position the airborne access points and select users to offload from the macrocells. We compare the performance of these deployments against equivalent simulated picocell deployments. We demonstrate that due...
This paper applies stochastic geometry to model the distribution of downlink transmit power in macro base stations in mobile networks. Using data from cellular 3G deployments in the UK, we find, through hypothesis tests, that the maximum transmit powers of base stations in urban environments are independent of both the local density of base stations and the transmit power of adjacent base stations...
This paper presents an experimentally-driven assessment of eigenvalue-based detection (EBD) for cognitive radio (CR), which puts such techniques to a realistic test beyond the assumptions of Gaussian target signals and the availability of large numbers of samples for detection purposes typically adopted in purely theoretical analysis. It is shown that these approximations lead to significantly optimistic...
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