Interference pricing mechanism for downlink multicell coordinated beamforming

José Joaquín Escudero Garzás, Mingyi Hong, Alfredo Garcia, Ana García-Armada

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


We consider the downlink coordinated beamforming problem in a cellular network in which the base stations (BSs) are equipped with multiple antennas and each user is equipped with a single antenna. The BSs cooperate in sharing their local interference information, and they aim to maximize the sum-rate of the users in the network. A decentralized interference pricing beamforming (IPBF) algorithm is proposed to identify the coordinated beamformer, where a BS is penalized according to the interference it creates to its peers. We show that the decentralized pricing mechanism converges to an interference equilibrium, which is a KKT point of the sum-rate maximization problem. The proofs rely on the identification of rank-1 solutions of each BSs' interference-penalized rate maximization problem. Numerical results show that the proposed iterative mechanism reduces significantly the exchanged information with respect to other state-of-the-art beamforming algorithms with very little sum-rate loss. The version of the algorithm that limits the coordination to a cluster of base stations (IPBF-L) is shown to have very small sum-rate loss with respect to the full coordinated algorithm with much less backhaul information exchange.

Original languageEnglish (US)
Article number6782679
Pages (from-to)1871-1883
Number of pages13
JournalIEEE Transactions on Communications
Issue number6
StatePublished - Jun 2014
Externally publishedYes


  • Base station coordination
  • Beamforming
  • Interference equilibirum
  • Multiple input-multiple output (MIMO)
  • Non-convex


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