Energy-Efficient Uplink Resource Units Scheduling for Ultra-Reliable Communications in NB-IoT Networks

被引:15
|
作者
Liang, Jia-Ming [1 ,2 ]
Wu, Kun-Ru [3 ]
Chen, Jen-Jee [4 ]
Liu, Pei-Yi [3 ]
Tseng, Yu-Chee [3 ,5 ]
机构
[1] Chang Gung Univ, Dept Comp Sci & Informat Engn, Taoyuan 33378, Taiwan
[2] Chang Gung Mem Hosp, Dept Gen Med, Taoyuan, Taiwan
[3] Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu 30010, Taiwan
[4] Natl Univ Tainan, Dept Elect Engn, Tainan, Taiwan
[5] Acad Sinica, Res Ctr Informat Technol Innovat, Taipei 11574, Taiwan
关键词
D O I
10.1155/2018/4079017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For 5G wireless communications, the 3GPP Narrowband Internet of Things (NB-IoT) is one of the most promising technologies, which provides multiple types of resource unit (RU) with a special repetition mechanism to improve the scheduling flexibility and enhance the coverage and transmission reliability. Besides, NB-IoT supports different operation modes to reuse the spectrum of LTE and GSM, which can make use of bandwidth more efficiently. The IoT application grows rapidly; however, those massive kir devices need to operate for a very long time. Thus, the energy consumption becomes a critical issue. Therefore, NB-IoT provides discontinuous reception operation to save devices' energy. But, how to further reduce the transmission energy while ensuring the required ultra-reliability is still an open issue. In this paper, we study how to guarantee the reliable communication and satisfy the quality of service (QoS) while minimizing the energy consumption for IoT devices. We first model the problem as an optimization problem and prove it to be NP-complete. Then, we propose an energy-efficient, ultra-reliable, and low-complexity scheme, which consists of two phases. The first phase tries to optimize the default transmit configurations of devices which incur the lowest energy consumption and satisfy the QoS requirement. The second phase leverages a weighting strategy to balance the emergency and inflexibility for determining the scheduling order to ensure the delay constraint while maintaining energy efficiency. Extensive simulation results show that our scheme can serve more devices with guaranteed QoS while saving their energy effectively.
引用
收藏
页数:17
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