• Àüü
  • ÀüÀÚ/Àü±â
  • Åë½Å
  • ÄÄÇ»ÅÍ
´Ý±â

»çÀÌÆ®¸Ê

Loading..

Please wait....

¿µ¹® ³í¹®Áö

Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

Current Result Document : 6 / 69 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) Energy-efficient Power Allocation based on worst-case performance optimization under channel uncertainties
¿µ¹®Á¦¸ñ(English Title) Energy-efficient Power Allocation based on worst-case performance optimization under channel uncertainties
ÀúÀÚ(Author) Xin Song   Li Dong   Xue Huang   Lei Qin   Xiuwei Han  
¿ø¹®¼ö·Ïó(Citation) VOL 14 NO. 11 PP. 4595 ~ 4610 (2020. 11)
Çѱ۳»¿ë
(Korean Abstract)
¿µ¹®³»¿ë
(English Abstract)
In the practical communication environment, the accurate channel state information (CSI) is difficult to obtain, which will cause the mismatch of resource and degrade the system performance. In this paper, to account for the channel uncertainties, a robust power allocation scheme for a downlink Non-orthogonal multiple access (NOMA) heterogeneous network (HetNet) is designed to maximize energy efficiency (EE), which can ensure the quality of service (QoS) of users. We conduct the robust optimization model based on worse-case method, in which the channel gains belong to certain ellipsoid sets. To solve the non-convex non-liner optimization , we transform the optimization problem via Dinkelbach method and sequential convex programming, and the power allocation of small cell users (SCUs) is achieved by Lagrange dual approach. Finally, we analysis the convergence performance of proposed scheme. The simulation results demonstrate that the proposed algorithm can
Å°¿öµå(Keyword) Non-orthogonal multiple access technology   heterogeneous networks   energy efficiency   channel state information   robust power allocation   Dinkelbach method   sequential convex programming   Lagrange dual approach  
ÆÄÀÏ÷ºÎ PDF ´Ù¿î·Îµå