Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 398-403.doi: 10.11896/jsjkx.200900175

• Network & Communication • Previous Articles     Next Articles

Energy Efficient Power Allocation for MIMO-NOMA Communication Systems

CHEN Yong1, XU Qi1, WANG Xiao-ming2, GAO Jin-yu2, SHEN Rui-juan2   

  1. 1 State Grid Jiangsu Electric Power Engineering Co.,Ltd.,Nanjing 210024,China
    2 College of Telecommunication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:CHEN Yong,born in 1974,master,se-nior engineer. His main research interestsinclude electric power engineering and so on.
    WANG Xiao-ming,born in 1986,Ph.D,lecturer,master tutor.His main research interests include wireless communication,deep learning and Internet of Things.
  • Supported by:
    Science and Technology Project of State Grid Jiangsu Electric Power Engineering Co.,Ltd.(SGJSHY00XMJS2000450) and National Natural Science Foundation of China(6181240).

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Abstract: In this paper,a power allocation algorithm is proposed for non-orthogonal multiple access (NOMA) communication systems with multiple input multiple output (MIMO).The base station (BS) divides the connected users into several clusters,and deals with the inter-cluster interference by zero-forcing receiving method and the intra-cluster interference by successive interference cancellation method.To improve the energy efficiency performance of the MIMO-NOMA system,the transmit power allocation is optimized at the BS.We formulate the power allocation problem as a nonconvex optimization problem with a fractio-nal form,which is difficult to solve directly.First,an auxiliary variable is introduced to transform the original objective function into a non-fractional form,and it is searched by the bisection method.Since the optimization problem after transformation is still a non-convex problem,it is then solved by a quadratic transformation and an iterative processing.The theoretical analysis and simulation results show that the proposed method can effectively improve the energy efficiency and sum-rate performance of the communication system compared with the traditional orthogonal access method.In addition,the proposed method can ensure the fairness between users by adjusting the weight factor.

Key words: Communication systems, Energy efficiency, Multiple input multiple output, Non-orthogonal multiple access, Power allocation

CLC Number: 

  • TN929
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