Simulation-based Investigation on Spatial Channel Hardening of Massive MIMO in Different Indoor Scenarios and with Different Array Topologies
Paper i proceeding, 2020

Spatial channel hardening is one of the key properties of a massive MIMO system. In this paper, we investigate the spatial channel hardening based on ray tracing channel simulations with different array antenna topologies deployed in different radio wave propagation conditions. Investigated are 9 different indoor deployment scenarios of massive MIMO. Considered are the empty room, the rich-furniture room and the room-to-room scenarios, where massive multi-antennas are deployed in the co-located, the split and the cell-free array topologies. The simulation results show that the cell-free topology results in the most-spatially-hardened channel in target area, while the co-located antennas the least-spatially-hardened. It is also found that the convergence of channel spatial variations is consistent with the number of paths estimated in multipath scenarios, i.e., the more multipath components are estimated in a propagation scenario, the smaller the number of antennas is required for the channel to reach the spatially hardened state. In our simulations, the rom-to-room scenario leads to the most-spatially-hardened channel, while for the empty room scenario it is the opposite.

Författare

C. Qin

Universiteit Twente

Ranplan Wireless Inc.

Y. Miao

Universiteit Twente

Y. Gao

Ranplan Wireless Inc.

J. Chen

Ranplan Wireless Inc.

J. Zhang

Ranplan Wireless Inc.

University of Sheffield

Andres Alayon Glazunov

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Antennsystem

Universiteit Twente

2020 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020

9232421

33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020
Rome, Italy,

Ämneskategorier

Telekommunikation

Kommunikationssystem

Signalbehandling

DOI

10.23919/URSIGASS49373.2020.9232421

Mer information

Senast uppdaterat

2020-12-29