TY - JOUR
T1 - Indoor Femtocell Interference Localization
AU - Yan, Kun
AU - Wu, Hsiao Chun
AU - Fang, Shih Hau
AU - Wang, Chiapin
AU - Li, Shaopeng
AU - Zhang, Lixuan
N1 - Funding Information:
Manuscript received March 10, 2019; revised August 12, 2019, January 12, 2020, and April 8, 2020; accepted April 11, 2020. Date of publication May 6, 2020; date of current version August 12, 2020. This work was supported by the Research Enhancement Award from Guangxi Province under Grant 2011GXSFD01802. The associate editor coordinating the review of this article and approving it for publication was P. Casari. (Corresponding author: Kun Yan.) Kun Yan and Lixuan Zhang are with the Department of Information and Telecommunication, Guilin University of Electronic Technology, Guilin 541004, China (e-mail: kyan5702@gmail.com; 510486531@qq.com).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Femtocells can extend the last-mile accessibility for the current cellular networks so as to serve more users indoors and improve the spectrum utility. However, since the indoor femtocell establishment can be ad hoc, HeNBs may also be inevitably vulnerable to the rogue-HeNB (uncoordinated or illegitimate HeNB) attack in practice. For detecting rogue-HeNBs, a two-dimensional received signal-to-interference-plus-noise ratio (SINR) map is exploited to construct a spatial radio-activity feature map (RAFM). Mathematical proof is derived to justify that the existence of any femtocell interference corresponds to a flat-bottom convex region in the RAFM. Advanced image processing techniques are designed here to localize the radio interference (rogue-HeNB) over the RAFM. Thus, a novel positioning scheme is proposed in this paper to undertake the accurate rogue-HeNB localization for the femtocell networks. Different indoor scenarios are evaluated through the real experiments for our proposed method. The average accuracy can be within one meter for a 6.75 meter by 8.1 meter laboratory.
AB - Femtocells can extend the last-mile accessibility for the current cellular networks so as to serve more users indoors and improve the spectrum utility. However, since the indoor femtocell establishment can be ad hoc, HeNBs may also be inevitably vulnerable to the rogue-HeNB (uncoordinated or illegitimate HeNB) attack in practice. For detecting rogue-HeNBs, a two-dimensional received signal-to-interference-plus-noise ratio (SINR) map is exploited to construct a spatial radio-activity feature map (RAFM). Mathematical proof is derived to justify that the existence of any femtocell interference corresponds to a flat-bottom convex region in the RAFM. Advanced image processing techniques are designed here to localize the radio interference (rogue-HeNB) over the RAFM. Thus, a novel positioning scheme is proposed in this paper to undertake the accurate rogue-HeNB localization for the femtocell networks. Different indoor scenarios are evaluated through the real experiments for our proposed method. The average accuracy can be within one meter for a 6.75 meter by 8.1 meter laboratory.
KW - Long term evolution (LTE) networks
KW - femtocell
KW - radio-activity feature map (RAFM)
KW - rogue-HeNB positioning
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U2 - 10.1109/TWC.2020.2990228
DO - 10.1109/TWC.2020.2990228
M3 - Article
AN - SCOPUS:85089874412
SN - 1536-1276
VL - 19
SP - 5176
EP - 5187
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 8
M1 - 9084230
ER -