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作 者:Tan N.Nguyen Minh Tran Thanh-Long Nguyen Miroslav Voznak
机构地区:[1]Wireless Communications Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University [2]Optoelectronics Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University [3]Center for Information Technology, Ho Chi Minh City University of Food Industry [4]Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava
出 处:《China Communications》2019年第3期92-102,共11页中国通信(英文版)
摘 要:In this paper, the system performance of a decode-and-forward(DF) full-duplex(FD) adaptive relaying network over the Rician fading environment is proposed, analyzed and demonstrated. In the first stage, the system is presented with the energy harvesting and information transmission processes. After that, the analytical expressions of the achievable throughput, the outage probability, and symbol error ratio(SER) were proposed, analyzed and demonstrated. Finally, the analytical results are also demonstrated by Monte-Carlo simulation in comparison with the closed-form expressions in the influence of the key system parameters. The results show that the analytical and simulated results match for all possible parameter values.In this paper, the system performance of a decode-and-forward(DF) full-duplex(FD) adaptive relaying network over the Rician fading environment is proposed, analyzed and demonstrated. In the first stage, the system is presented with the energy harvesting and information transmission processes. After that, the analytical expressions of the achievable throughput, the outage probability, and symbol error ratio(SER) were proposed, analyzed and demonstrated. Finally, the analytical results are also demonstrated by Monte-Carlo simulation in comparison with the closed-form expressions in the influence of the key system parameters. The results show that the analytical and simulated results match for all possible parameter values.
关 键 词:RELAYING network THROUGHPUT OUTAGE probability SER wireless energy harvesting(EH)
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