Paper Info
Title
Energy-Efficient Uplink Resource Units Scheduling for Ultra-Reliable Communications in NB-IoT Networks.
Abstract
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.
Year
DOI
Venue
2018
10.1155/2018/4079017
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Field
DocType
Volume
Discontinuous reception,GSM,Wireless,Efficient energy use,Computer science,Scheduling (computing),Quality of service,Computer network,Energy consumption,Distributed computing,Telecommunications link
Journal
2018
ISSN
Citations 
PageRank 
1530-8669
1
0.36
References 
Authors
9
5
Name
Order
Citations
PageRank
Jia-Ming Liang110413.26
Kun-Ru Wu2348.37
Jen-Jee Chen320523.90
Pei-Yi Liu410.70
Yu-Chee Tseng56603639.67