TY - GEN
T1 - Max-min network flow and resource allocation for backhaul constrained heterogeneous wireless networks
AU - Liao, Wei Cheng
AU - Hong, Mingyi
AU - Luo, Zhi Quan
PY - 2014
Y1 - 2014
N2 - We consider a heterogenous network (HetNet) consisting of a number of base stations (BSs) and network routers connected via a backhaul network. The optimal provision of such networks requires proper resource allocation across the radio access links in conjunction with appropriate traffic engineering within the backhaul network. In this paper we propose an efficient distributed algorithm for the joint resource allocation across the wireless links and the flow control within the backhaul network. The proposed algorithm, which maximizes the minimum rate among all the users and/or flows, is based on a decomposition approach that leverages both the Alternating Direction Method of Multipliers (ADMM) and the WMMSE algorithm, and is shown to be globally convergent to a stationary solution of the joint flow control and resource allocation problem. Moreover, this algorithm is easily parallelizable and can be extended to the multi-antenna scenario.
AB - We consider a heterogenous network (HetNet) consisting of a number of base stations (BSs) and network routers connected via a backhaul network. The optimal provision of such networks requires proper resource allocation across the radio access links in conjunction with appropriate traffic engineering within the backhaul network. In this paper we propose an efficient distributed algorithm for the joint resource allocation across the wireless links and the flow control within the backhaul network. The proposed algorithm, which maximizes the minimum rate among all the users and/or flows, is based on a decomposition approach that leverages both the Alternating Direction Method of Multipliers (ADMM) and the WMMSE algorithm, and is shown to be globally convergent to a stationary solution of the joint flow control and resource allocation problem. Moreover, this algorithm is easily parallelizable and can be extended to the multi-antenna scenario.
KW - ADMM Algorithm
KW - Cross-layer Optimization
KW - Heterogeneous Networks
KW - Software Defined Network
UR - http://www.scopus.com/inward/record.url?scp=84905019773&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905019773&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2014.6853716
DO - 10.1109/ICASSP.2014.6853716
M3 - Conference contribution
AN - SCOPUS:84905019773
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 845
EP - 849
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -