Trade-Off Between Beamforming and Macro-Diversity Gains in Distributed mMIMO

被引:0
|
作者
Tominaga, Eduardo N. [1 ]
Su, Hsuang-Jung [2 ,3 ]
Du, Jinfeng [3 ]
Venkatesan, Sivarama [3 ]
Souza, Richard D. [4 ]
Alves, Hirley [1 ]
机构
[1] Univ Oulu, Ctr Wireless Commun CWC, Flagship 6G, Oulu, Finland
[2] Natl Taiwan Univ, Grad Inst Commun Engn, Taipei, Taiwan
[3] Nokia Bell Labs, Murray Hill, NJ 07974 USA
[4] Fed Univ Santa Catarina UFSC, Florianopolis, SC, Brazil
基金
欧盟地平线“2020”;
关键词
Distributed massive MIMO; beamforming gain; macro-diversity gain; spectral efficiency; FREE MASSIVE MIMO; NETWORKS; ENERGY;
D O I
10.1109/WCNC57260.2024.10570865
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Industry and academia have been working towards the evolution from Centralized massive Multiple-Input Multiple-Output (CmMIMO) to Distributed mMIMO (DmMIMO) architectures. Instead of splitting a coverage area into many cells, each served by a single Base Station equipped with several antennas, the whole coverage area is jointly covered by several Access Points (AP) equipped with few or single antennas. Nevertheless, when choosing between deploying more APs with few or single antennas or fewer APs equipped with many antennas, one observes an inherent trade-off between the beamforming and macro-diversity gains that has not been investigated in the literature. Given a total number of antenna elements and total downlink power, under a channel model that takes into account a probability of Line-of-Sight (LoS) as a function of the distance between the User Equipments (UEs) and APs, our numerical results show that there exists a "sweet spot" on the optimal number of APs and of antenna elements per AP which is a function of the physical dimensions of the coverage area.
引用
收藏
页数:6
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