TY - JOUR
T1 - UAV-Assisted Data Collection with Nonorthogonal Multiple Access
AU - Chen, Weichao
AU - Zhao, Shengjie
AU - Zhang, Rongqing
AU - Chen, Yi
AU - Yang, Liuqing
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - Unmanned aerial vehicles (UAVs) facilitate information collection greatly in the Internet-of-Things (IoT) systems due to their superior flexibility and mobility. On the other hand, nonorthogonal multiple access (NOMA) is regarded as a promising technology to provide high spectral efficiency and support massive connectivity in fifth-generation networks. The integration of NOMA into UAV-Assisted wireless networks shows great potential, but how to determine the user grouping and power allocation in NOMA according to the high mobility of UAV is challenging. In this article, we propose a general NOMA-enabled UAV-Assisted data collection (NUDC) protocol to maximize the sum rate of a wireless sensor network (WSN), where the location of UAV, sensor grouping, and power control are jointly considered. Moreover, a joint signal-To-interference ratio (SIR) hypergraph-based grouping and power control (SHG-PC) NOMA scheme is provided to obtain the appropriate sensor grouping and the optimal power control solutions efficiently, in which the hypergraph and the greedy coloring algorithm are exploited to find out the optimized group relationships. Extensive simulation results demonstrate the efficiency of our proposed protocol.
AB - Unmanned aerial vehicles (UAVs) facilitate information collection greatly in the Internet-of-Things (IoT) systems due to their superior flexibility and mobility. On the other hand, nonorthogonal multiple access (NOMA) is regarded as a promising technology to provide high spectral efficiency and support massive connectivity in fifth-generation networks. The integration of NOMA into UAV-Assisted wireless networks shows great potential, but how to determine the user grouping and power allocation in NOMA according to the high mobility of UAV is challenging. In this article, we propose a general NOMA-enabled UAV-Assisted data collection (NUDC) protocol to maximize the sum rate of a wireless sensor network (WSN), where the location of UAV, sensor grouping, and power control are jointly considered. Moreover, a joint signal-To-interference ratio (SIR) hypergraph-based grouping and power control (SHG-PC) NOMA scheme is provided to obtain the appropriate sensor grouping and the optimal power control solutions efficiently, in which the hypergraph and the greedy coloring algorithm are exploited to find out the optimized group relationships. Extensive simulation results demonstrate the efficiency of our proposed protocol.
KW - Data collection
KW - hypergraph
KW - nonorthogonal multiple access (NOMA)
KW - unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85098576910&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098576910&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2020.3005271
DO - 10.1109/JIOT.2020.3005271
M3 - Article
AN - SCOPUS:85098576910
SN - 2327-4662
VL - 8
SP - 501
EP - 511
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 1
M1 - 9126800
ER -