Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation


This paper studies a decentralized power allocation for uplink random access of secondary users in cognitive network with successive interference cancellation. First, for the additive white Gaussian noise channel, we propose a novel algorithm, which enables to obtain discrete power levels and optimize the corresponding probabilities, iterating per-level… (More)
DOI: 10.1109/ICC.2016.7511003


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