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作 者:Xiaoye Shi Jin Sun Dongming Li Fei Ding Zhaowei Zhang
机构地区:[1]Department of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing,210003,China [2]Department of Electronic and Electrical Engineering,University College London,London,WC1E 6BT,UK
出 处:《Computers, Materials & Continua》2020年第11期1373-1384,共12页计算机、材料和连续体(英文)
基 金:The authors would like to thank the anonymous reviewers for their constructive comments and suggestions;This work was supported by the National Natural Science Foundation of China(61701251,61801236,61806100);the Nation-al Science Foundation of Jiangsu Province(BK20160903,BK20170914).
摘 要:In this paper,we study the rate-energy tradeoff for wireless simultaneous in-formation and power transfer in full-duplex and half-duplex scenarios.To this end,the weighting function of energy efficiency and transmission rate,as rate-energy tradeoff metric is first introduced and the metric optimization problem is formulated.Applying Karush-Kuhn-Tucker(KKT)conditions for Lagrangian optimality and a series of mathematical approximations,the metric optimization problem can be simplified.The closed-form solution of the power ratio is obtained,building direct relationship between power ratio and the rate-energy tradeoff metric.By choosing power ratio,one can make the tradeoff between information rate and harvested power in a straightforward and efficient way.Using the method similar to the half duplex systems,the optimal power ratio can be obtained in the full duplex systems,so as to balance the information transmission rate and energy transmission efficiency.Simulation results validate that the information rate is non-increasing with harvested power in half-duplex systems and the tradeoff of information rate and harvested power can be simply made.In the full duplex systems,the power ratio solution of the rate-energy tradeoff metric optimization problem can be used as the approximate optimal solution of the optimization problem and the approximation error is negligible.
关 键 词:Power transfer full duplex optimization problem
分 类 号:TN9[电子电信—信息与通信工程]
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