摘要
随着大规模MIMO和物联网的普及,能源效率(Energy Efficiency,EE)优化问题将是未来5G发展面临的挑战,其中多个用户可以在相同子信道上复用的NOMA技术表现出更大的吸引力。假设完全了解信道状态信息,基站根据最大比分配原则将具有最大分配因子的机器设备分配给用户设备,在上行链路中采用了一种子信道与用户设备双边匹配算法,通过基于NOMA的功率控制和时间调度,使得系统中的EE最优。仿真结果表明,与现有的方案相比,提出的优化方案能耗降低了6%以上。
With the popularity of large-scale MIMO and Internet of Things, energy efficiency(EE) optimization issues will be the challenges of the future development of 5 G, in which multiple users reuse in the same sub channel shows more attractive. Assum-ing that the conditions of the channel state information are fully understood, the base station allocates the machine equipment with the largest allocation factor to the user equipment according to the maximum proportion allocation principle, in the uplink, a bilat-eral matching algorithm of one sub-channel and user equipment is adopted, and the EE is maximized through the power control and time scheduling based on NOMA. The simulation result shows that the energy consumption of the proposed optimization scheme is reduced by more than 6 % compared with the existing schemes.
作者
陈发堂
唐成
刘一帆
Chen Fatang;Tang Cheng;Liu Yifan(Chongqing Key Lab of Mobile Communication Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,Chin)
出处
《电子技术应用》
2018年第7期117-121,共5页
Application of Electronic Technique
基金
重庆市基础与前沿研究计划项目(cstc2016jcyj A0209)
关键词
MIMO
物联网
能效
NOMA
双边匹配算法
MIMO
Internet of Things
energy efficiency
NOMA
bilateral matching algorithm