Integrating energy efficiency analysis of massive MIMO-based C-RAN

被引:4
|
作者
Zhang, Di [1 ]
Tariq, Muhammad [2 ]
Mumtaz, Shahid [3 ]
Rodriguez, Jonathan [3 ]
Sato, Takuro [1 ]
机构
[1] Waseda Univ, GITS GITI, Okubo 3-14-8, Tokyo 1690074, Japan
[2] Princeton Univ, Dept Elect Engn, Princeton, NJ 08540 USA
[3] Inst Telecommun, P-3810193 Aveiro, Portugal
关键词
Energy efficiency; Cloud Radio Access Network; Massive MIMO; 5G; Convex optimization; ANTENNA SELECTION; SYSTEMS;
D O I
10.1186/s13638-016-0778-y
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Besides the prior study of energy efficiency (EE) that focuses on single component (antenna, radio frequency (RF) chain, circuit, etc.), or limited to one base station (BS) area, in this paper, EE is integrated, investigated with various components (antenna, RF chain, circuit, coverage area) considering in, based on an optimized system model. That is, one optimized multi-BS system model is introduced beforehand with the cloud radio access network (C-RAN) for easier deployment of the selecting/sleeping mechanism. In addition, the system EE is described by an optimization problem while taking more component factors into consideration. While solving, this integrated optimization problem in all time intervals of all BS areas is proved to be equal to an optimization problem of each single BS area within each single time interval. After that, the integrated optimization solution is obtained while adding up the single-BS-single-interval optimization solutions, whereas the later solution is addressed by an offline decision method plus a convex optimization strategy. Observation from the numerical results demonstrates that the antenna power consumption is the dominant factor of the power consumption, which therefore, the dominant factor of EE performance.
引用
收藏
页数:9
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