2016
DOI: 10.1109/tvt.2015.2506180
|View full text |Cite
|
Sign up to set email alerts
|

Modeling City-Canyon Pedestrian Radio Channels Based on Passive Sounding in In-Service Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5
2
2

Relationship

0
9

Authors

Journals

citations
Cited by 13 publications
(4 citation statements)
references
References 24 publications
0
4
0
Order By: Relevance
“…Passive channel sounding is attractive, since it measures directly the radio channels between the BSs and UEs in real-world deployment scenario, which is essential to achieve digital twin of the electromagnetic environment and virtual drive testing concept [6]. Passive sounding has been adopted in the early universal mobile terrestrial system (UMTS) network [7] for measuring channel parameters including delay, Doppler frequency and path loss (PL). In [8], [9], the passive sounding campaigns are conducted under the long term evolution (LTE) network to measure channel parameters, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Passive channel sounding is attractive, since it measures directly the radio channels between the BSs and UEs in real-world deployment scenario, which is essential to achieve digital twin of the electromagnetic environment and virtual drive testing concept [6]. Passive sounding has been adopted in the early universal mobile terrestrial system (UMTS) network [7] for measuring channel parameters including delay, Doppler frequency and path loss (PL). In [8], [9], the passive sounding campaigns are conducted under the long term evolution (LTE) network to measure channel parameters, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Passive sounding, initially introduced for analyzing propagation characteristics in public in-service wireless communication systems such as universal mobile terrestrial system (UMTS) [19] and long-term evolution (LTE) [20], has been extended to 5G cellular networks [21] recently. This method provides an accurate representation of the electromagnetic environment encountered by wireless devices, facilitating the direct application of derived channel models for product performance evaluation and optimization [23].…”
Section: Introductionmentioning
confidence: 99%
“…Under channel linearity and time-invariance constraints, the conventional minimum mean squared error (MMSE) is the optimal linear operator for channel estimation under jointly Gaussian distributed random variables [4]. However, these constraints are unrealistic since even pedestrian channels are dynamic [5], and nonlinearities are common in power amplifiers [6]- [9]. In addition, as the MMSE channel estimation relies on covariance matrix inversions, the computational complexity is extremely expensive [10].…”
Section: Introductionmentioning
confidence: 99%