TY - GEN
T1 - MACH
T2 - 2019 IEEE Global Communications Conference, GLOBECOM 2019
AU - Sun, Wen
AU - Wang, Lu
AU - Liu, Jiajia
AU - Kato, Nei
AU - Zhang, Yanning
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - The densification of small cells, ultimately towards ultra-dense networks (UDN), makes coordinated multipoint (CoMP) a feasible transmission solution for mobile users. However, CoMP may increase the handover rate, as users move across small and irregular BS cooperation regions. In this paper, we consider movement aware CoMP handover (MACH) in heterogeneous UDNs. Unlike most prior works, which focus on the handover trigger time, we explore the appropriate selection of BS cooperation set to reduce handover rate. By estimating cell dwell time, a user would be intelligently assigned to macro cell or small cell according to its movement trend. Moreover, we achieve a balance between BSs with long dwell time and the current best performed BS for multipoint cooperation while user moving. The performance of the proposed MACH is analyzed in terms of coverage probability and handover probability using stochastic geometry. Through extensive simulations, we show that the analytical results fit well with simulations, and the proposed MACH outperforms the existing works in both handover probability and coverage probability.
AB - The densification of small cells, ultimately towards ultra-dense networks (UDN), makes coordinated multipoint (CoMP) a feasible transmission solution for mobile users. However, CoMP may increase the handover rate, as users move across small and irregular BS cooperation regions. In this paper, we consider movement aware CoMP handover (MACH) in heterogeneous UDNs. Unlike most prior works, which focus on the handover trigger time, we explore the appropriate selection of BS cooperation set to reduce handover rate. By estimating cell dwell time, a user would be intelligently assigned to macro cell or small cell according to its movement trend. Moreover, we achieve a balance between BSs with long dwell time and the current best performed BS for multipoint cooperation while user moving. The performance of the proposed MACH is analyzed in terms of coverage probability and handover probability using stochastic geometry. Through extensive simulations, we show that the analytical results fit well with simulations, and the proposed MACH outperforms the existing works in both handover probability and coverage probability.
KW - Coordinated multipoint
KW - Handover
KW - Stochastic geometry
KW - Ultra-dense networks
UR - http://www.scopus.com/inward/record.url?scp=85081948557&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081948557&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM38437.2019.9013627
DO - 10.1109/GLOBECOM38437.2019.9013627
M3 - Conference contribution
AN - SCOPUS:85081948557
T3 - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
BT - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 December 2019 through 13 December 2019
ER -