TY - GEN
T1 - Handover analysis of macro-assisted small cell networks
AU - Lee, Chia-Han
AU - Syu, Zih Siang
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/3/12
Y1 - 2014/3/12
N2 - The concept of macro-assisted small cell networks, or phantom cells, has recently been proposed to tackle the problem of mobility and handover issues in small cell networks. In this paper we analyze the mean handover rate and the mean sojourn time in cellular networks deploying the phantom cell architecture. The random waypoint model is used to describe the user mobility. The locations of base stations are modeled by a Poisson point process (PPP) and the base station serving zones are modeled by Poisson Voronoi tessellations (PVT). The closed-form expressions derived in this paper show that the handover rate and the sojourn time are simply a function of user velocity, transmission probability, and base station density. We further show that by adopting the macro-assisted small cell (phantom cell) architecture, the interruption ratio can be much smaller, and the improvement is equal to the square root of the ratio of densities of macro base stations and small cell base stations. The results thus provide useful design guidelines for phantom cell deployment in 5G.
AB - The concept of macro-assisted small cell networks, or phantom cells, has recently been proposed to tackle the problem of mobility and handover issues in small cell networks. In this paper we analyze the mean handover rate and the mean sojourn time in cellular networks deploying the phantom cell architecture. The random waypoint model is used to describe the user mobility. The locations of base stations are modeled by a Poisson point process (PPP) and the base station serving zones are modeled by Poisson Voronoi tessellations (PVT). The closed-form expressions derived in this paper show that the handover rate and the sojourn time are simply a function of user velocity, transmission probability, and base station density. We further show that by adopting the macro-assisted small cell (phantom cell) architecture, the interruption ratio can be much smaller, and the improvement is equal to the square root of the ratio of densities of macro base stations and small cell base stations. The results thus provide useful design guidelines for phantom cell deployment in 5G.
KW - 5G
KW - Handover
KW - Phantom cell
KW - Poisson Voronoi tessellations
KW - Poisson point process
KW - Small cell
KW - Stochastic geometry
UR - http://www.scopus.com/inward/record.url?scp=84946690662&partnerID=8YFLogxK
U2 - 10.1109/iThings.2014.103
DO - 10.1109/iThings.2014.103
M3 - Conference contribution
AN - SCOPUS:84946690662
T3 - Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014
SP - 604
EP - 609
BT - Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014
Y2 - 1 September 2014 through 3 September 2014
ER -