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We propose a novel approach to distributed multi-radio channel allocation that is based on learning and a protocol following this approach (termed LCAP). Each node in LCAP independently and iteratively learns the channel allocation using a probabilistic adaptation algorithm that ensures network connectivity while reducing interference. Key enabler of the proposed approach is a novel neighbor discovery...
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