Rate-Energy Tradeoff for Wireless Simultaneous Information and Power Transfer in Full-Duplex and Half-Duplex Systems

被引:2
作者
Shi, Xiaoye [1 ]
Sun, Jin [1 ]
Li, Dongming [1 ]
Ding, Fei [2 ]
Zhang, Zhaowei [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Dept Internet Things, Nanjing 210003, Peoples R China
[2] UCL, Dept Elect & Elect Engn, London WC1E 6BT, England
来源
CMC-COMPUTERS MATERIALS & CONTINUA | 2020年 / 65卷 / 02期
基金
中国国家自然科学基金;
关键词
Power transfer; full duplex; optimization problem;
D O I
10.32604/cmc.2020.011018
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:1373 / 1384
页数:12
相关论文
共 15 条
[1]  
[Anonymous], 2014, Convex Optimiza- tion
[2]  
Assimonis S. D., 2018, P IEEE MICR THEOR TE, P1, DOI [10.1109/IMWS-5G.2018.8484384, DOI 10.1109/IMWS-5G.2018.8484384]
[3]  
Dutkiewicz E, 2017, 2017 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND COMPUTER SCIENCE (ICECOS), P7, DOI 10.1109/ICECOS.2017.8167169
[4]  
hAnnaidh B. O., 2018, IEEE MTT S INT MICR, P1, DOI DOI 10.1109/IMWS-5G.2018.8484316
[5]   Interference-Aware Multisource Transmission in Multiradio and Multichannel Wireless Network [J].
He, Shiming ;
Xie, Kun ;
Xie, Kexin ;
Xu, Chuan ;
Wang, Jin .
IEEE SYSTEMS JOURNAL, 2019, 13 (03) :2507-2518
[6]   Enabling Massive IoT in 5G and Beyond Systems: PHY Radio Frame Design Considerations [J].
Ijaz, Ayesha ;
Zhang, Lei ;
Grau, Maxime ;
Mohamed, Abdelrahim ;
Vural, Serdar ;
Quddus, Atta U. ;
Imran, Muhammad Ali ;
Foh, Chuan Heng ;
Tafazolli, Rahim .
IEEE ACCESS, 2016, 4 :3322-3339
[7]   Full-Duplex Non-Orthogonal Multiple Access in Cooperative Relay Sharing for 5G Systems [J].
Kader, Md Fazlul ;
Shin, Soo Young ;
Leung, Victor C. M. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (07) :5831-5840
[8]  
Lee Y.-H., 2017, PROC IEEE WIRELESS P, V5, P1, DOI [10.1109/WPT, DOI 10.1109/WPT]
[9]   5G Internet of Things: A survey [J].
Li, Shancang ;
Xu, Li Da ;
Zhao, Shanshan .
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2018, 10 :1-9
[10]   Wireless Information Transfer with Opportunistic Energy Harvesting [J].
Liu, Liang ;
Zhang, Rui ;
Chua, Kee-Chaing .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2013, 12 (01) :288-300