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Sparse code multiple access (SCMA) is the most concerning scheme amongnon-orthogonal multiple access (NOMA) technologies for 5G wirelesscommunication new interface. Another efficient technique in 5G aimed to improvespectral efficiency for local communications is device-to-device (D2D)communications. Therefore, we utilize the SCMA cellular network coexisting withD2D communications for the connection demand of the Internet of things (IOT),and improve the system sum rate performance of the hybrid network. We firstderive the information-theoretic expression of the capacity for all users andfind the capacity bound of cellular users based on the mutual interferencebetween cellular users and D2D users. Then we consider the power optimizationproblem for the cellular users and D2D users jointly to maximize the system sumrate. To tackle the non-convex optimization problem, we propose a geometricprogramming (GP) based iterative power allocation algorithm. Simulation resultsdemonstrate that the proposed algorithm converges fast and well improves thesum rate performance.

Capacity Analysis and Sum Rate Maximization for the SCMA Cellular Network Coexisting with D2D Communications