Paper Info
Title
Analysis and modeling of spatial characteristics in urban microscenario of heterogeneous network.
Abstract
Heterogeneous network (HetNet) is a typical deployment scenario for the IMT-Advanced system whereby the macro enhanced node B (eNB) provides the wide coverage while the lower power nodes such as micro, pico, femto, and relay nodes extend the coverage/capacity for coverage hole or hotspot. This literature addresses the spatial propagation modeling for urban micro (UMi) scenario of HetNet. Due to users distributed in canyon streets, the multipath with high power is not always coming from the line-of-sight (LoS) direction in UMi scenario. Moreover, considering the impact of the directional antenna pattern, the current IMT-Advanced UMi channel model may lead to inaccurate interference modeling. To verify this, multiple-input multiple-output (MIMO) field channel measurement is conducted in downtown Beijing for typical UMi. Based on the measurement data analysis, the multipath's angular offset from the LoS direction is clearly observed. In order to capture such spatial characteristic into the existing IMT-Advanced UMi channel model, the angular offset models are proposed for both LoS and non-LoS (NLoS) cases. Finally, the interference and capacity simulation prove that it is necessary to capture the angle offset model into the MIMO channel model in UMi scenario.
Year
DOI
Venue
2011
10.1186/1687-1499-2011-187
EURASIP J. Wireless Comm. and Networking
Keywords
Field
DocType
IMT-Advanced, multiple-input multiple-output (MIMO), channel model, interference, HetNet
Non-line-of-sight propagation,Multipath propagation,Femto-,Computer science,Computer network,MIMO,Communication channel,Real-time computing,Directional antenna,Heterogeneous network,Offset (computer science)
Journal
Volume
Issue
ISSN
2011
1
1687-1499
Citations 
PageRank 
References 
22
0.41
4
Authors
8
Name
Order
Citations
PageRank
Jianhua Zhang171691.23
Nan Sheng2221.42
Fenghua Zhang3251.53
Lei Tian48712.96
Guangyi Liu522336.37
Weihui Dong61125.31
Ping Zhang7758105.08
Chia-Chin Chong865467.71