As the latest evolving architecture of space networks, Internet of Satellites (IoSat) is regarded as a promising paradigm in the future beyond 5G and 6G wireless systems. However, due to the extremely large number of ...
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ISBN:
(数字)9781728173276
ISBN:
(纸本)9781728173283
As the latest evolving architecture of space networks, Internet of Satellites (IoSat) is regarded as a promising paradigm in the future beyond 5G and 6G wireless systems. However, due to the extremely large number of satellites and open links, it is challenging to ensure communication security in IoSat, especially for wiretap resisting. To the best of our knowledge, it is an entirely new problem to study the security issue in IoSat, since existing works concerning physical layer security (PLS) in satellite networks mainly focused on the space-to-terrestrial links. It is also noted that, we are the first to investigate PLS problem in IoSat. In light of this, we present in this paper an analytical model of PLS in IoSat where a terrestrial transmitter delivers its information to multi-satellite in the presence of eavesdroppers. By adopting the key parameters such as satellites' deployment density, minimum elevation angle, and orbit height, two major secrecy metric including average secrecy capacity and probability are derived and analyzed. As demonstrated by extensive numerical results, the presented theoretical framework can be utilized to efficiently evaluate the secrecy performance of IoSat, and guide the design and optimization for communication security in such systems.
Energy scarcity becomes a key factor restricting the development of the wireless communications network. Wireless power transfer, as it can provide a sustainable and reliable energy supply for wireless communications ...
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ISBN:
(数字)9781728173276
ISBN:
(纸本)9781728173283
Energy scarcity becomes a key factor restricting the development of the wireless communications network. Wireless power transfer, as it can provide a sustainable and reliable energy supply for wireless communications devices, has drawn a lot of interests in recent a few years. Thus, combining wireless power transfer to the wireless communications network can potentially extend the lifetime of wireless devices and thus prolong the operating-time of networks. In this paper, we consider the two-hop wireless networks, where the source node transmits information to the destination assisted by the relay node and the relay simultaneously harvests energy and receive information from the source node. In order to maximize the effective capacity (EC), which is the maximum constant arrival rate under specified quality of service (QoS) requirements, we investigate the statistical QoS supported resource allocation policies under full duplex transmission mode for wireless powered relay networks. Finally, numerical results are demonstrated to validate the theoretical derivations, which highlights the proposed scheme in terms of EC performance in comparison to the benchmark scheme.
School-enterprise cooperation can focus on the practical skills of students on the basis of targeted cultivation of talent. This paper takes the cooperation between Luoyang normal University and Beijing Zhongqing Inst...
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School-enterprise cooperation can focus on the practical skills of students on the basis of targeted cultivation of talent. This paper takes the cooperation between Luoyang normal University and Beijing Zhongqing Institute of Information Technology to establish the electroniccommerce College as an example. This paper explores the mode and construction content of the cooperation between applied undergraduate colleges and private enterprises in the process of vocational education and e-commerce talents training, and consummates the training mode of e-commerce talents based on seniority structure. This cooperation between schools and enterprises play a role model for local colleges and universities.
E-commerce personalized recommendation system needs to be able to respond to user page requests in real time and provide recommendation services for users according to different recommendation models chosen by users. ...
E-commerce personalized recommendation system needs to be able to respond to user page requests in real time and provide recommendation services for users according to different recommendation models chosen by users. In this paper, based on the fusion method of intelligent ontology and bigdata mining, the semantic access preference of the user is captured by the user interest acquisition algorithm of the semantic cluster, and the current session of the user is matched with the acquired user preference to obtain the recommendation set. The paper presents personalized recommendation method of E-commerce based on fusion technology of smart ontology and bigdata mining.
bigdata computing model refers to various high-level abstract models extracted and established from the diverse bigdata computing problems and requirements according to bigdata's different data characteristics ...
bigdata computing model refers to various high-level abstract models extracted and established from the diverse bigdata computing problems and requirements according to bigdata's different data characteristics and computational characteristics. In order to improve the data quality, a method of adding semantics to the data is proposed to help users identify bigdata's pattern. In this way, we can make use of the semantic value of the data, detect bigdata, and propose a bigdata computing model through the semantic analysis of the data. The paper presents research on bigdata computing model based on semantic data analysis technology.
E-commerce is experiencing strong global growth, and leading market is nowadays that of China, whether it is evaluated from the perspective of domestic market size or cross-border volumes. In this research work furthe...
E-commerce is experiencing strong global growth, and leading market is nowadays that of China, whether it is evaluated from the perspective of domestic market size or cross-border volumes. In this research work further understanding and knowledge is built from Chinese market using general choice algorithm (GCA) and two real-life case studies. The outcome of GCA model shows the list of the most preferable locations for e-commerce enterprise development. Findings of this study are also compared to two case studies of e-commerce entrance to Chinese market, where one of these two is operating in an omnichannel environment. Market entrance in these two was implemented through very simplified and centralized distribution structure, and using location of Shanghai. Actual operations are either outsourced or in-house produced. Cash on delivery (COD) is still the preferred payment method in e-commerce order fulfilment. One factor being rather important in case companies was distribution prices, where courier services all over the country play an important role. For logistics in general, and sea ports, research reveals that currently dominating areas of the Pearl and Yangtze River Delta face the challenge to some extent from other places of China as favourable locations for e-commerce and consumption are also at north and western parts.
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