Biblio

This paper studies the hierarchical secure multicast algorithm in sparse code multiple access (SCMA) networks, its network security capacity is no longer limited by the users with the worst channel quality in multicast group. Firstly, we propose a network security energy efficiency (SEE) maximization problem. Secondly, in order to reduce the computational complexity, we propose a suboptimal algorithm (SA), which separates the codebook assignment with artificial noise from the power allocation with artificial noise. To further decrease the complexity of Lagrange method, a power allocation algorithm with increased fixed power is introduced. Finally, simulation results show that the network performance of the proposed algorithm in SCMA network is significantly better than that in orthogonal frequency division multiple access (OFDMA) network.

Fifth-generation (5G) network demands of higher data rate, massive user connectivity and large spectrum can be achieve using Sparse Code Multiple Access (SCMA) scheme. The integration of cognitive feature spectrum sensing with SCMA can enhance the spectrum efficiency in a heavily dense 5G wireless network. In this paper, we have investigated the primary user detection performance using SCMA in Centralized Cooperative Spectrum Sensing (CCSS). The developed model can support massive user connectivity, lower latency and higher spectrum utilization for future 5G networks. The simulation study is performed for AWGN and Rayleigh fading channel. Log-MPA iterative receiver based Log-Likelihood Ratio (LLR) soft test statistic is passed to Fusion Center (FC). The Wald-hypothesis test is used at FC to finalize the PU decision.