SpringerOpen Newsletter

Receive periodic news and updates relating to SpringerOpen.

Open Access Open Badges Research

Joint iterative beamforming and power adaptation for MIMO ad hoc networks

Engin Zeydan1*, Didem Kivanc2, Ufuk Tureli2 and Cristina Comaniciu1

Author Affiliations

1 Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA

2 Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, WV, USA

For all author emails, please log on.

EURASIP Journal on Wireless Communications and Networking 2011, 2011:79  doi:10.1186/1687-1499-2011-79

Published: 26 August 2011


In this paper, we present distributed cooperative and regret-matching-based learning schemes for joint transmit power and beamforming selection for multiple antenna wireless ad hoc networks operating in a multi-user interference environment. Under the total network power minimization criterion, a joint iterative approach is proposed to reduce the mutual interference at each node while ensuring a constant received signal-to-interference and noise ratio at each receiver. In cooperative and regret-matching-based power minimization algorithms, transmit beamformers are selected from a predefined codebook to minimize the total power. By selecting transmit beamformers judiciously and performing power adaptation, the cooperative algorithm is shown to converge to a pure strategy Nash equilibrium with high probability in the interference impaired network. The proposed cooperative and regret-matching-based distributed algorithms are also compared with centralized solutions through simulation results.

MIMO; ad hoc networks; game theory; beamforming