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We develop a singular layer transmission model for continuous-variable quantum key distribution (CVQKD). We show that the singular layer assistance provides improved secret key rates for CVQKD, particularly in crucial low signal-to-noise ratio regimes.
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
The next generation wireless communication systems needs not only to provide a higher data throughput but also to support integrated applications with various quality of service (QoS) requirements. In this paper, a new cross layers design of a dynamic resource allocation control for 3GPP2 1xEV-DV systems is proposed. The dynamic resource allocation proposed is able to allocate the optimal combination...
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