Nonasymptotic Analysis of Capacity in Massive MIMO Systems
Nonasymptotic Analysis of Capacity in Massive MIMO Systems
复制标题
大规模 MIMO 系统容量的非渐近分析
DOI:
10.1109/lwc.2015.2454509
复制
发表时间:
2015-07
影响因子:
6.3
通讯作者:
Jun Fang
中科院分区:
文献类型:
--
作者:
Yin Long;Zhi Chen;Jun Fang
In this letter, we analyze the capacity of a point-to-point massive MIMO system in the regime of a large (but finite) number of antennas. Different from previous works resorting to asymptotic random matrix theory, concentration inequalities are used in our nonasymptotic analysis for massive MIMO systems with a finite number of antennas. We first derive deterministic bounds on the ergodic capacity for massive MIMO systems. Furthermore, we obtain statistical bounds within which the instantaneous capacity falls with a falling-in probability. As the number of antennas increases, the statistical bounds on the instantaneous capacity become tighter and the corresponding falling-in probability increases, which reveals an interesting phenomenon that the instantaneous capacity has fewer random fluctuations as the number of antennas becomes larger. Simulations show that these theoretical bounds match well with our experimental results. Therefore, the bounds can be useful for the design and analysis of practical massive MIMO systems with a large but finite number of antennas.
登录
查看更多内容
DOI:
--
发表时间:
2006
期刊:
--
影响因子:
--
作者:
V. Raghavan
通讯作者:
V. Raghavan
影响因子:
5.4
作者:
Haotian Wu;Liming Wang;Xiaodong Wang;X. You
通讯作者:
Haotian Wu;Liming Wang;Xiaodong Wang;X. You
影响因子:
16.4
作者:
Goldsmith, A;Jafar, SA;Vishwanath, S
通讯作者:
Vishwanath, S
DOI:
--
发表时间:
2004
期刊:
--
影响因子:
--
作者:
V. Raghavan;A. Sayeed
通讯作者:
V. Raghavan;A. Sayeed
DOI:
10.1109/tcomm.2002.806555
发表时间:
2002-12
期刊:
IEEE Trans. Commun.
影响因子:
--
作者:
D. Gesbert;H. Bölcskei;D. Gore;A. Paulraj
通讯作者:
D. Gesbert;H. Bölcskei;D. Gore;A. Paulraj