TY - GEN
T1 - Enhanced Interference Coordination and Radio Resource Management for 5G Advanced Ultra-dense RAN
AU - Adachi, Fumiyuki
AU - Takahashi, Ryo
AU - Matsuo, Hidenori
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - Ultra-densification of radio access network (RAN) is necessary to handle ever-increasing mobile data traffic even after starting of 5G services. Dense reuse of the same radio resource produces severe interference. Furthermore, when extremely high frequency band like mmWave band is utilized, the radio link may be frequently blocked by obstacles placed between transmitter and receiver according to user movement. To realize highly reliable communications in such a severe radio link environment, an enhanced interference coordination (eIC) and radio resource management (RRM) needs to be introduced. In this paper, we will present the concept of an eIC and RRM for 5G advanced ultra-dense RAN using distributed MIMO, which integrates a classification of user-equipments (UEs) into inner-cell and cell-edge groups, UE clustering, cluster-antenna association, distributed MIMO cooperative transmission reception (CTR), and scheduling. Then, we will present some preliminary results obtained by numerical computation.
AB - Ultra-densification of radio access network (RAN) is necessary to handle ever-increasing mobile data traffic even after starting of 5G services. Dense reuse of the same radio resource produces severe interference. Furthermore, when extremely high frequency band like mmWave band is utilized, the radio link may be frequently blocked by obstacles placed between transmitter and receiver according to user movement. To realize highly reliable communications in such a severe radio link environment, an enhanced interference coordination (eIC) and radio resource management (RRM) needs to be introduced. In this paper, we will present the concept of an eIC and RRM for 5G advanced ultra-dense RAN using distributed MIMO, which integrates a classification of user-equipments (UEs) into inner-cell and cell-edge groups, UE clustering, cluster-antenna association, distributed MIMO cooperative transmission reception (CTR), and scheduling. Then, we will present some preliminary results obtained by numerical computation.
KW - 5G advanced
KW - clustering
KW - cooperative signal transmission
KW - distributed MIMO
KW - interference coordination
KW - radio access network
UR - http://www.scopus.com/inward/record.url?scp=85088296943&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088296943&partnerID=8YFLogxK
U2 - 10.1109/VTC2020-Spring48590.2020.9128516
DO - 10.1109/VTC2020-Spring48590.2020.9128516
M3 - Conference contribution
AN - SCOPUS:85088296943
T3 - IEEE Vehicular Technology Conference
BT - 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 91st IEEE Vehicular Technology Conference, VTC Spring 2020
Y2 - 25 May 2020 through 28 May 2020
ER -