The high-frequency(HF) communication is one of essential communication methods for military and emergency application. However, the selection of communication frequency channel is always a difficult problem as the cro...The high-frequency(HF) communication is one of essential communication methods for military and emergency application. However, the selection of communication frequency channel is always a difficult problem as the crowded spectrum, the time-varying channels, and the malicious intelligent jamming. The existing frequency hopping, automatic link establishment and some new anti-jamming technologies can not completely solve the above problems. In this article, we adopt deep reinforcement learning to solve this intractable challenge. First, the combination of the spectrum state and the channel gain state is defined as the complex environmental state, and the Markov characteristic of defined state is analyzed and proved. Then, considering that the spectrum state and channel gain state are heterogeneous information, a new deep Q network(DQN) framework is designed, which contains multiple sub-networks to process different kinds of information. Finally, aiming to improve the learning speed and efficiency, the optimization targets of corresponding sub-networks are reasonably designed, and a heterogeneous information fusion deep reinforcement learning(HIF-DRL) algorithm is designed for the specific frequency selection. Simulation results show that the proposed algorithm performs well in channel prediction, jamming avoidance and frequency channel selection.展开更多
In modem society information has become one of the most important resources, playing a crucial role in everyday life. As a result, information technology （IT） is now an indispensable tool in the business world, whic...In modem society information has become one of the most important resources, playing a crucial role in everyday life. As a result, information technology （IT） is now an indispensable tool in the business world, which has a direct impact on company competitiveness and performance. With all the changes in business environment there is also a dramatic shift in the way the management functions. In order to efficiently perform their tasks and thus rise up to the challenges of the information society, managers need not only to master appropriate IT skills, but also to understand the processes launched by the information revolution. The aim of this paper was to determine the extent to which Croatian managers are prepared for the information society. In addition to the data regarding the level of IT equipment at managers＇ disposal, the paper presents the results on computer usage, self-assessment of IT competencies, and the level of acceptance of modern technologies. Although satisfactory attainment has been recorded in some areas, the results of the analysis reveal that additional effort should be devoted to further improve computer and information literacy of Croatian managers.展开更多
基金supported by Guangxi key Laboratory Fund of Embedded Technology and Intelligent System under Grant No. 2018B-1the Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province under Grant No. BK20160034+1 种基金the National Natural Science Foundation of China under Grant No. 61771488, No. 61671473 and No. 61631020in part by the Open Research Foundation of Science and Technology on Communication Networks Laboratory
文摘The high-frequency(HF) communication is one of essential communication methods for military and emergency application. However, the selection of communication frequency channel is always a difficult problem as the crowded spectrum, the time-varying channels, and the malicious intelligent jamming. The existing frequency hopping, automatic link establishment and some new anti-jamming technologies can not completely solve the above problems. In this article, we adopt deep reinforcement learning to solve this intractable challenge. First, the combination of the spectrum state and the channel gain state is defined as the complex environmental state, and the Markov characteristic of defined state is analyzed and proved. Then, considering that the spectrum state and channel gain state are heterogeneous information, a new deep Q network(DQN) framework is designed, which contains multiple sub-networks to process different kinds of information. Finally, aiming to improve the learning speed and efficiency, the optimization targets of corresponding sub-networks are reasonably designed, and a heterogeneous information fusion deep reinforcement learning(HIF-DRL) algorithm is designed for the specific frequency selection. Simulation results show that the proposed algorithm performs well in channel prediction, jamming avoidance and frequency channel selection.
文摘In modem society information has become one of the most important resources, playing a crucial role in everyday life. As a result, information technology （IT） is now an indispensable tool in the business world, which has a direct impact on company competitiveness and performance. With all the changes in business environment there is also a dramatic shift in the way the management functions. In order to efficiently perform their tasks and thus rise up to the challenges of the information society, managers need not only to master appropriate IT skills, but also to understand the processes launched by the information revolution. The aim of this paper was to determine the extent to which Croatian managers are prepared for the information society. In addition to the data regarding the level of IT equipment at managers＇ disposal, the paper presents the results on computer usage, self-assessment of IT competencies, and the level of acceptance of modern technologies. Although satisfactory attainment has been recorded in some areas, the results of the analysis reveal that additional effort should be devoted to further improve computer and information literacy of Croatian managers.
