Min Flow Rate Maximization for Software Defined Radio Access Networks

被引:56
作者
Liao, Wei-Cheng [1 ]
Hong, Mingyi [1 ]
Farmanbar, Hamid [2 ]
Li, Xu [2 ]
Luo, Zhi-Quan [1 ]
Zhang, Hang [2 ]
机构
[1] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
[2] Huawei Technol, Ottawa Res & Dev Ctr, Ottawa, ON L3R 5A4, Canada
关键词
Heterogeneous networks; ADMM algorithm; software defined networking; cross-layer optimization; small cell; limited backhaul; CROSS-LAYER OPTIMIZATION; POWER-CONTROL; WIRELESS NETWORKS; MULTICELL MIMO; ALLOCATION; RESOURCE;
D O I
10.1109/JSAC.2014.2328171
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider a cloud-based heterogeneous network of base stations (BSs) connected via a backhaul network of routers and wired/wireless links with limited capacity. 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 algorithm for joint resource allocation across the wireless links and flow control over the entire network. The proposed algorithm, which maximizes the min-rate among all the transmitted commodities, is based on a decomposition approach that leverages both the alternating direction method of multipliers (ADMM) and the weighted-MMSE (WMMSE) algorithm. We show that this algorithm is easily parallelizable and converges globally to a stationary solution of the joint optimization problem. The proposed algorithm can also be extended to networks with multi-antenna nodes and other utility functions.
引用
收藏
页码:1282 / 1294
页数:13
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