TY - GEN
T1 - Cell outage detection in heterogeneous networks with separated control and data plane
AU - Omreti, Oluwakayode
AU - Imrant, Ali
AU - Imran, Muhammad Ali
AU - Tafazolli, Rahim
N1 - Publisher Copyright:
© VDE VERLAG GMBH, Berlin, Offenbach, Germany.
PY - 2014
Y1 - 2014
N2 - In this paper, we propose a data cell outage detection scheme for heterogeneous networks (HetNets) with separated control and data plane. We consider a HetNet where the Control Network Layer (CNL) provides ubiquitous network access while Data Network Layer (DNL) provides high data rate transmission to low mobility User Terminals (UTs) Furthermore, network functionalities such as paging and system information broadcast are provided by the CNL to all active UTs, hence, the CNL is aware of all active UTs association. Based on this observation, we categorize our data cell outage detection scheme into the trigger phase and detection phase. In the former, the CNL monitors all UT-data base station association and triggers detection when irregularities occurs in the association, whUe the later utilizes a grey prediction model on the UTs' reference signal received power (RSRP) statistics to determine the existence of an outage. The simulation results indicate that the proposed scheme can detect the data cell outage problem in a reliable manner.
AB - In this paper, we propose a data cell outage detection scheme for heterogeneous networks (HetNets) with separated control and data plane. We consider a HetNet where the Control Network Layer (CNL) provides ubiquitous network access while Data Network Layer (DNL) provides high data rate transmission to low mobility User Terminals (UTs) Furthermore, network functionalities such as paging and system information broadcast are provided by the CNL to all active UTs, hence, the CNL is aware of all active UTs association. Based on this observation, we categorize our data cell outage detection scheme into the trigger phase and detection phase. In the former, the CNL monitors all UT-data base station association and triggers detection when irregularities occurs in the association, whUe the later utilizes a grey prediction model on the UTs' reference signal received power (RSRP) statistics to determine the existence of an outage. The simulation results indicate that the proposed scheme can detect the data cell outage problem in a reliable manner.
UR - https://www.scopus.com/pages/publications/84916886641
M3 - Conference contribution
AN - SCOPUS:84916886641
T3 - 20th European Wireless Conference, EW 2014
SP - 165
EP - 170
BT - 20th European Wireless Conference, EW 2014
PB - VDE Verlag GmbH
T2 - 20th European Wireless Conference, EW 2014
Y2 - 14 May 2014 through 16 May 2014
ER -