Paper Info
Title
Performance Evaluation Of Massive Mimo With Low-Height Small-Cell Using Realistic Channel Models
Abstract
Massive MIMO with small-cells are attracting much attention as a promising scenario for 5G. In those deployment scenarios, it is considered that base stations (BSs) are located at heights below 10 m such as on a lamppost or an exterior wall of a building's second floor. However, the throughput performance in such scenarios has not been sufficiently evaluated yet, since the current widely used channel models such as the 3GPP 3D channel model is only applicable for BS heights at 10 m and above. This paper investigates the throughput performance of a downlink Massive MIMO small-cell located at heights below 10 m based on new realistic channel model parameters. The new channel model parameters have been obtained from a measurement campaign conducted at such BS heights using a carrier frequency of 3.7 GHz with 250 MHz bandwidth. We also compare the Massive MIMO performance with the conventional channel model parameters from 3GPP's 3D urban-microcell (3D-UMi) scenario. The computer simulation results show that the average cell throughput with one of the new channel models (called "Open Square") is 94% higher compared to 3D-UMi. This is because the parameters of the Open Square scenario have a lower path-loss and a larger angular spread of departure than the conventional. Therefore, the new channel model parameters can contribute to improve accuracy in design and evaluation of Massive MIMO small-cell network towards the 5G deployment.
Year
Venue
Keywords
2016
2016 IEEE 84TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL)
Massive MIMO, 3D channel model, Performance evaluation
Field
DocType
ISSN
Base station,3G MIMO,Computer science,Simulation,Signal-to-noise ratio,MIMO,Electronic engineering,Bandwidth (signal processing),Throughput,Precoding,Telecommunications link
Conference
2577-2465
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Boonsarn Pitakdumrongkija192.81
Masayuki Ariyoshi2277.55
leszek raschkowski3306.16
Stephan Jaeckel4589.83
Lars Thiele516428.50