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Future wireless networks will progressively displace service provisioningtowards the edge to accommodate increasing growth in traffic. This paradigmshift calls for smart policies to efficiently share network resources andensure service delivery. In this paper, we consider a cognitive dynamic networkarchitecture (CDNA) where primary users (PUs) are rewarded for sharing theirconnectivities and acting as access points for secondary users (SUs). CDNAcreates opportunities for capacity increase by network-wide harvesting ofunused data plans and spectrum from different operators. Different policies fordata and spectrum trading are presented based on centralized, hybrid anddistributed schemes involving primary operator (PO), secondary operator (SO)and their respective end users. In these schemes, PO and SO progressivelydelegate trading to their end users and adopt more flexible cooperationagreements to reduce computational time and track available resourcesdynamically. A novel matching-with-pricing algorithm is presented to enableself-organized SU-PU associations, channel allocation and pricing for data andspectrum with low computational complexity. Since connectivity is provided bythe actual users, the success of the underlying collaborative market relies onthe trustworthiness of the connections. A behavioral-based access controlmechanism is developed to incentivize/penalize honest/dishonest behavior andcreate a trusted collaborative network. Numerical results show that thecomputational time of the hybrid scheme is one order of magnitude faster thanthe benchmark centralized scheme and that the matching algorithm reconfiguresthe network up to three orders of magnitude faster than in the centralizedscheme.

Data and Spectrum Trading Policies in a Trusted Cognitive Dynamic Network