Journal on Communications ›› 2020, Vol. 41 ›› Issue (9): 21-28.doi: 10.11959/j.issn.1000-436x.2020194

• Topics: Communication and Computing Fusion of Intelligent Emergency • Previous Articles     Next Articles

User grouping and power allocation algorithm for UAV-aided NOMA network

Guoquan LI1,2,Jinzhao LIN1,2(),Yongjun XU1,3,Zhengwen HUANG4,Ting LIU2   

  1. 1 School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    2 Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology,Chongqing 400065,China
    3 Shaanxi Key Laboratory of Information Communication Network and Security,Xi’an University of Posts &Telecommunications,Xi’an 710121,China
    4 Department of Electronic and Computer Engineering,Brunel University,London UB8 3PH,UK
  • Revised:2020-08-22 Online:2020-09-25 Published:2020-10-12
  • Supported by:
    The National Key Research and Development Program of China(2019YFC1511300);The Natural Science Foundation of Chongqing(cstc2019jcyj-msxmX0666);The Natural Science Foundation of Chongqing(cstc2019jcyj-xfkxX0002);The Open Project of Shaanxi Key Laboratory of Information Communication Network and Security(ICNS201904)

Abstract:

To improve the transmission flexibility of emergency communication scenarios,a joint user grouping and power allocation algorithm was proposed for UAV-aided non-orthogonal multiple access (NOMA) system.A sum-rate maximization resource allocation algorithm was formulated under the constraints of the maximum transmit power and the user grouping.To solve the non-convex problem,a graph-based user grouping algorithm was proposed to minimize the relative distance between the UAV and users.Based on the grouping result,the power allocation sub-problem was transformed into a convex one by using the auxiliary-variable approach.Simulation results demonstrate that the proposed algorithm has better performance in terms of sum rates.

Key words: UAV, NOMA, user grouping, power allocation

CLC Number: 

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