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Energy consumption optimization for self‐powered IoT networks with non‐orthogonal multiple access
Author(s) -
Li Xi,
Luo Changqing,
Ji Hong,
Zhuang Yuandong,
Zhang Heli,
Leung Victor C.M.
Publication year - 2019
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4174
Subject(s) - computer science , time division multiple access , data transmission , computer network , wireless , transmission (telecommunications) , node (physics) , energy consumption , energy harvesting , internet of things , software deployment , wireless network , noma , energy (signal processing) , telecommunications , electrical engineering , embedded system , statistics , mathematics , engineering , telecommunications link , structural engineering , operating system
Summary Energy harvesting (EH) has been considered as one of the promising technologies to power Internet of Things (IoT) devices in self‐powered IoT networks. By adopting a typical harvest‐then‐transmit mode, IoT devices with the EH technology first harvest energy by using wireless power transfer (WPT) and then carry out wireless information transmission (WIT), which leads to the coordination between WPT and WIT. In this paper, we consider optimizing energy consumption of periodical data collection in a self‐powered IoT network with non‐orthogonal multiple access (NOMA). Particularly, we take into account time allocation for the WPT and WIT stages, node deployment, and constraints for data transmission. Moreover, to thoroughly explore the impact of different multiple access methods, we theoretically analyse and compare the performance achieved by employing NOMA, frequency division multiple access (FDMA), and time division multiple access (TDMA) in the considered IoT network. To validate the performance of the proposed method, we conduct extensive simulations and show that the NOMA outperforms the FDMA and TDMA in terms of energy consumption and transmission power.