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| 1 | Adaptive WiFi-offloading algorithm based on attractor selection in heterogeneous wireless networks显示文摘The unforeseen mobile data explosion poses a major challenge to the performance of today's cellular networks, and cellular networks are in urgent need of novel solutions to handle such voluminous mobile data. Obviously, data offloading through third-party Wi Fi access points(APs) can effectively alleviate the data load in the cellular networks with a low operational and capital expenditure. In this paper, we propose and analyze an adaptive Wi Fi-offloading algorithm based on attractor selection in heterogeneous wireless networks. In the proposed Wi Fi-offloading algorithm, the Wi Fi system throughput and cellular throughput in the coverage area of Wi Fi, are mapped into the activity of the attractor, which is the reflector of the current network environment. When the current attractor activity is low, the network is dominated by the noise. Then, the noise triggers the controller to select adaptive attractor, an optimal Wi Fi-offloading ratio φ, to adapt to the dynamic network environment. And users offload the specific portion of traffic to the Wi Fi networks with the ratio of φ, which improves the throughput of heterogeneous wireless networks and alleviates the load of cellular networks. Through simulation, we show that the proposed Wi Fi-offloading algorithm outperforms the existing ones with 21% higher heterogeneous network throughput in a dense traffic environment. | Hu Zhiqun Wen Xiangming Lu Zhaoming Wang Yiqing Ling Dabing | 2015 | The Journal of China Universities of Posts and Telecommunications2015，22，6： | 1 |
| 2 | Barley FASCIATED EAR genes determine inflorescence meristem size and yield traits显示文摘In flowering plants,the inflorescence meristem(IM)provides founder cells to form successive floral meristems,which are precursors of fruits and seeds.The activity and developmental progression of IM are thus critical for yield production in seed crops.In some cereals,such as rice(Oryza sativa)and maize(Zea mays),the size of undifferentiated IM,which is located at the inflorescence apex,is positively associated with yield traits such as spikelet number.However,the relationship between IM size and yieldrelated spike traits remains unknown in the Triticeae tribe.Here we report that IM size has a negative correlation with yield traits in barley(Hordeum vulgare).Three FASCIATED EAR(FEA)orthologs,HvFEA2,HvFEA3,and HvFEA4,regulate IM size and spike morphogenesis and ultimately affect yield traits.Three HvFEAs genes are highly expressed in developing spikes,and all three loss-of-function mutants exhibit enlarged IM size,shortened spikes,and reduced spikelet number,which may lead to reduced grain yield.Natural variations identified in HvFEAs indicate selection events during barley domestication.We further reveal that HvFEA4,as a transcription factor,potentially targets multiple pathways during reproductive development,including transcriptional control,phytohormone signaling,and redox status.The roles of barley FEA genes in limiting IM size and promoting spikelet formation suggest the potential of increasing yield by manipulating IM activity. | Chengyu Wang Xiujunan Yang Yueya Zhang Chaoqun Shen Jin Shi Chongjing Xia Taohong Fang Qiang Tu Ling Li Xinli Zhou Dabing Zhang Gang Li | 2023 | The Crop Journal2023，11，3： | 0 |
| 3 | Cross-layer resource allocation based on potential game theory in multi-cell OFDMA networks显示文摘A cross-layer resource allocation scheme based on potential game(CLRA_ PG) is proposed for the downlink multi-cell orthogonal frequency-division multiple-access(OFDMA) system with universal frequency reuse.As a method to mitigate inter-cell interference(ICI),base station coordination has been considered.In the process of the objective function modeling,this paper adopts a pricing mechanism which not only maximizes the individual utility but also considers the interference to other users.Based on the potential game theory,the objective problem is converted to a potential function which can be easily solved.The Karush-Kuhn-Tucker(KKT) conditions and the iterative water-filling algorithm are employed to solve the constraint objective optimization problem.Moreover,extensive simulations are conducted to evaluate how the pricing factors affect the algorithm.At the same time,comparing with the traditional policy,our simulation results show that the proposed scheme can significantly improve the performance of the system. | 路兆铭 Ma Wenmin Zheng Wei Wen Xiangming Ling Dabing | 2013 | High Technology Letters2013，19，4： | 0 |
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