TY - GEN
T1 - Femtocell collaborative outage detection (FCOD) with built-in sleeping mode recovery (SMR) technique
AU - Abouelmaati, Dalia
AU - Saeed, Arsalan
AU - Onireti, Oluwakayode
AU - Imran, Muhammad Ali
AU - Arshad, Kamran
N1 - Publisher Copyright:
© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.
PY - 2015
Y1 - 2015
N2 - Self-Organizing Networks (SONs) have an important role in the development of the next generation mobile networks by introducing automated schemes. Cell outage detection is one of the main functionalities in self-healing mechanism. Outage detection for small cells has not been discussed in literature with greater emphasis yet. The Femtocell Collaborative Outage Detection (FCOD) algorithm with built-in Sleeping Mode Recovery (SMR) is introduced in this paper. The proposed algorithm is mainly based on the femtocell collaborative detection with incorporated sniffer. It compares the current Femtocell Access Points FAPs’ Reference Signal Received Power (RSRP) statistics with a benchmark data. An outage decision is autonomously taken by each FAP depending on a certain threshold value. Moreover, the FCOD algorithm is capable of differentiating between the outage and sleeping cells due to the presence of the built-in SMR technique.
AB - Self-Organizing Networks (SONs) have an important role in the development of the next generation mobile networks by introducing automated schemes. Cell outage detection is one of the main functionalities in self-healing mechanism. Outage detection for small cells has not been discussed in literature with greater emphasis yet. The Femtocell Collaborative Outage Detection (FCOD) algorithm with built-in Sleeping Mode Recovery (SMR) is introduced in this paper. The proposed algorithm is mainly based on the femtocell collaborative detection with incorporated sniffer. It compares the current Femtocell Access Points FAPs’ Reference Signal Received Power (RSRP) statistics with a benchmark data. An outage decision is autonomously taken by each FAP depending on a certain threshold value. Moreover, the FCOD algorithm is capable of differentiating between the outage and sleeping cells due to the presence of the built-in SMR technique.
KW - Cell outage detection
KW - Heterogeneous cellular network
KW - Self-healing
KW - Self-organizing networks
UR - https://www.scopus.com/pages/publications/84952684558
U2 - 10.1007/978-3-319-24540-9_39
DO - 10.1007/978-3-319-24540-9_39
M3 - Conference contribution
AN - SCOPUS:84952684558
SN - 9783319245393
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 477
EP - 486
BT - Cognitive Radio Oriented Wireless Networks - 10th International Conference, CROWNCOM 2015, Revised Selected Papers
A2 - Weichold, Mark
A2 - Shakir, Muhammad Zeeshan
A2 - Abdallah, Mohamed
A2 - Ismail, Muhammad
A2 - Hamdi, Mounir
A2 - Karagiannidis, George K.
PB - Springer Verlag
T2 - 10th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2015
Y2 - 21 April 2015 through 23 April 2015
ER -