Min flow rate maximization for software defined radio access networks

Wei Cheng Liao, Mingyi Hong, Hamid Farmanbar, Xu Li, Zhi Quan Luo, Hang Zhang

Research output: Contribution to journalArticlepeer-review

47 Scopus citations


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.

Original languageEnglish (US)
Article number6824739
Pages (from-to)1282-1294
Number of pages13
JournalIEEE Journal on Selected Areas in Communications
Issue number6
StatePublished - Jun 2014


  • ADMM algorithm
  • Heterogeneous networks
  • cross-layer optimization
  • limited backhaul
  • small cell
  • software defined networking


Dive into the research topics of 'Min flow rate maximization for software defined radio access networks'. Together they form a unique fingerprint.

Cite this