Abstract
AbstractA bandwidth allocation method based on smartphone users’ personality traits and channel condition is studied in a unified mathematical framework in this paper. Based on the relationship between automatically extracted behavioral characteristics derived from rich smartphone data and Big-Five personality traits, the service provider could estimate each user’s probability of each personality trait using diagnostic inference, and then based on predictive inference to calculate each user’s usage of bandwidth using Bayesian Network. This could help the service provider to better allocate the smartphone bandwidth. For our proposed smart bandwidth allocation scheme, both the outage capacity and the outage probability are studied in fading channel. The service provider could adjust the bandwidth allocated further on account of the real channel condition, which makes our proposed algorithm more robust.KeywordsBandwidth allocationBig dataBayesian network inferencePersonality traitsChannel condition
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