Abstract
One of the key characteristics in ultra-dense small cell networks (UDNs) is the advent of idle cells which have no associated user equipment (UE). Indeed, idle cells always transmit the cell-specific reference signal (CRS), while they do not transmit data signals. In this paper, we focus on providing a theoretical analysis on the effect of idle cells in terms of the aggregate interference and signal-To-interference ratio (SIR). First, we investigate how idle cells affect the CRS interference (i.e., aggregate interference at the CRS) and data interference (i.e., aggregate interference at the data signals). Specifically, we derive the statistical distribution for the ratio of CRS interference to data interference. Second, by using the Kolmogorov-Smirnov statistic, we qualitatively measure the amount of SIR mismatch between CRS SIR and data SIR caused by idle cells in the UDN. In the numerical results, we show that CRS interference becomes larger than data interference with cell densification. We also illustrate that the SIR mismatch between CRS SIR and data SIR becomes severe, as base station (BS)-To-UE density ratio increases (i.e., idle BS ratio increases). Moreover, we can confirm that the SIR mismatch in indoor environment is weaker than outdoor owing to the multiple penetration losses such as outer walls and inner walls.
| Original language | English |
|---|---|
| Pages (from-to) | 26881-26894 |
| Number of pages | 14 |
| Journal | IEEE Access |
| Volume | 6 |
| DOIs | |
| Publication status | Published - 2018 May 3 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Materials Science(all)
- Engineering(all)
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Theoretical Analysis of Interference Effect from Idle Cells in Ultra-Dense Small Cell Networks. / Park, Yosub; Hong, Daesik.
In: IEEE Access, Vol. 6, 03.05.2018, p. 26881-26894.Research output: Contribution to journal › Article
TY - JOUR
T1 - Theoretical Analysis of Interference Effect from Idle Cells in Ultra-Dense Small Cell Networks
AU - Park, Yosub
AU - Hong, Daesik
PY - 2018/5/3
Y1 - 2018/5/3
N2 - One of the key characteristics in ultra-dense small cell networks (UDNs) is the advent of idle cells which have no associated user equipment (UE). Indeed, idle cells always transmit the cell-specific reference signal (CRS), while they do not transmit data signals. In this paper, we focus on providing a theoretical analysis on the effect of idle cells in terms of the aggregate interference and signal-To-interference ratio (SIR). First, we investigate how idle cells affect the CRS interference (i.e., aggregate interference at the CRS) and data interference (i.e., aggregate interference at the data signals). Specifically, we derive the statistical distribution for the ratio of CRS interference to data interference. Second, by using the Kolmogorov-Smirnov statistic, we qualitatively measure the amount of SIR mismatch between CRS SIR and data SIR caused by idle cells in the UDN. In the numerical results, we show that CRS interference becomes larger than data interference with cell densification. We also illustrate that the SIR mismatch between CRS SIR and data SIR becomes severe, as base station (BS)-To-UE density ratio increases (i.e., idle BS ratio increases). Moreover, we can confirm that the SIR mismatch in indoor environment is weaker than outdoor owing to the multiple penetration losses such as outer walls and inner walls.
AB - One of the key characteristics in ultra-dense small cell networks (UDNs) is the advent of idle cells which have no associated user equipment (UE). Indeed, idle cells always transmit the cell-specific reference signal (CRS), while they do not transmit data signals. In this paper, we focus on providing a theoretical analysis on the effect of idle cells in terms of the aggregate interference and signal-To-interference ratio (SIR). First, we investigate how idle cells affect the CRS interference (i.e., aggregate interference at the CRS) and data interference (i.e., aggregate interference at the data signals). Specifically, we derive the statistical distribution for the ratio of CRS interference to data interference. Second, by using the Kolmogorov-Smirnov statistic, we qualitatively measure the amount of SIR mismatch between CRS SIR and data SIR caused by idle cells in the UDN. In the numerical results, we show that CRS interference becomes larger than data interference with cell densification. We also illustrate that the SIR mismatch between CRS SIR and data SIR becomes severe, as base station (BS)-To-UE density ratio increases (i.e., idle BS ratio increases). Moreover, we can confirm that the SIR mismatch in indoor environment is weaker than outdoor owing to the multiple penetration losses such as outer walls and inner walls.
UR - http://www.scopus.com/inward/record.url?scp=85046440753&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046440753&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2832630
DO - 10.1109/ACCESS.2018.2832630
M3 - Article
AN - SCOPUS:85046440753
VL - 6
SP - 26881
EP - 26894
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
ER -