文章摘要
Xiang Sun,Liangkun Yu,Yin Yang.[J].重庆邮电大学新办英文刊,2021,7(1):29-36
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Jointly optimizing user clustering, power management, and wireless channel allocation for NOMA-based Internet of Things
Received: September 03, 2020  Revised: September 16, 2020
DOI:https://doi.org/10.1016/j.dcan.2020.10.003
中文关键词: 
英文关键词: NOMA;Internet of Things;Resource management
基金项目:This work is supported by the National Science Foundation under Award OIA-1757207.
AuthorInstitutionE-mail
Xiang Sun Department of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM, 87131, USA sunxiang@unm.edu;Liangkun Yu,Liangkun@unm.edu;Yin Yang,yin5@clemson.edu 
Liangkun Yu Department of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM, 87131, USA Liangkun@unm.edu;Yin Yang,yin5@clemson.edu 
Yin Yang School of Computing, Clemson University, Clemson, SC, 29634, USA yin5@clemson.edu 
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中文摘要:
      
英文摘要:
      In order to accommodate the large number of Internet of Things (IoT) connections in mobile networks, NonOrthogonal Multiple Access (NOMA) has been applied as the resource sharing mechanism in mobile access networks to improve the spectrum efficiency. The NOMA-based resource management for uplink communications comprises two problems, i.e., user clustering and power & wireless channel allocation. User clustering refers to assigning users in terms of IoT devices to different clusters (where users in the same cluster are sharing the wireless channels to upload their data), and power & wireless channel allocation is to optimize the transmission power of the users and the number of wireless channels allocated to the users in a cluster. The two problems are coupled together, thus making it difficult to solve the NOMA-based resource management problem. In this paper, we propose a QoS-aWarE resourcE managemenT (SWEET) for NOMA algorithm to jointly optimize the user clustering, power management, and wireless channel allocation such that the number of wireless channels is minimized and the data rate requirements of the users can be satisfied. The performance of SWEET is validated via extensive simulations.