Shengyu Li

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This paper investigates the spectrum sensing and data transmission tradeoff problem for Cognitive Radio Networks (CRNs). In this paper, both the spectrum sensing time and the data transmission power are optimized. First, as the original problem is hard to analyze, an approximate problem is proposed, and it has been proved that there indeed exists an optimal(More)
Energy harvesting is gaining increasing importance for complementing the current battery-powered wireless communication systems, prolonging their lifetime and making them more environment friendly. Moreover, applying energy harvesting techniques to cognitive radio network (CRN) can improve both energy efficiency and spectral efficiency. In this paper, we(More)
In this letter, cooperative multicast in cognitive relay systems is investigated, where multiple multi-antenna relay nodes help forward the transmitted message from different sources to the corresponding destinations. Our objective is to maximize the global transmission rate scaling factor by cooperatively optimizing the forwarding matrix for each relay(More)
MiR-29c is frequently dysregulated in many cancers; however, the roles of miR-29c in pancreatic cancer (PC) and underlying mechanisms remain poorly understood. In this study, we investigated the role of miR-29c in PC. Using quantitative real-time polymerase chain reaction, we demonstrated that miR-29c was frequently downregulated in clinical PC tissues and(More)
This letter investigates the throughput optimization of multiple description coding multicast (MDCM) in cognitive radio networks (CRNs) by taking into account both statistical channel state information (CSI) and the interference from the primary network. A statistical-CSI-based MDCM scheme with low complexity is proposed, which is shown to be able to(More)