TY - GEN
T1 - Joint Downlink Cell Association and Bandwidth Allocation with User Priorities in Two-Tier HetNets
AU - Lee, Hongju
AU - Park, Junhee
AU - Lee, Sang Hyun
AU - Lee, Inkyu
N1 - Funding Information:
This work was supported by the National Research Foundation through the Ministry of Science, ICT, and Future Planning (MSIP), Korean Government under Grant 2017R1A2B3012316.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - This work develops ajoint design of user association and wireless backhaul bandwidth allocation with unequal user priorities in two-tier cellular heterogeneous networks (HetNets). A large number of transmit antennas is installed at a macro base station (MBS), while small base stations (SBSs) are equip with a single antenna and are connected with the MBS through wireless backhaul. Reverse time-division duplex (RTDD) scheme and dynamic frequency reuse are applied to manage inter-cell and intra-cell interference between users. We jointly determine user association and bandwidth allocation in order to maximize the sum throughput weighted by different user priorities. Based on a message-passing framework, we propose a distributed algorithm which efficiently determines user association and bandwidth allocation. Simulation results show that the proposed algorithm outperforms existing approaches consistently.
AB - This work develops ajoint design of user association and wireless backhaul bandwidth allocation with unequal user priorities in two-tier cellular heterogeneous networks (HetNets). A large number of transmit antennas is installed at a macro base station (MBS), while small base stations (SBSs) are equip with a single antenna and are connected with the MBS through wireless backhaul. Reverse time-division duplex (RTDD) scheme and dynamic frequency reuse are applied to manage inter-cell and intra-cell interference between users. We jointly determine user association and bandwidth allocation in order to maximize the sum throughput weighted by different user priorities. Based on a message-passing framework, we propose a distributed algorithm which efficiently determines user association and bandwidth allocation. Simulation results show that the proposed algorithm outperforms existing approaches consistently.
UR - http://www.scopus.com/inward/record.url?scp=85088285264&partnerID=8YFLogxK
U2 - 10.1109/VTC2020-Spring48590.2020.9129131
DO - 10.1109/VTC2020-Spring48590.2020.9129131
M3 - Conference contribution
AN - SCOPUS:85088285264
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 -