Joint iterative beamforming and power adaptation for MIMO ad hoc networks
Eurasip Journal on Wireless Communications and Networking, vol.2011, no.1, 2011 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 2011 Issue: 1
- Publication Date: 2011
- Doi Number: 10.1186/1687-1499-2011-79
- Journal Name: Eurasip Journal on Wireless Communications and Networking
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Keywords: ad hoc networks, beamforming, game theory, MIMO
- Open Archive Collection: AVESIS Open Access Collection
- Yıldız Technical University Affiliated: No
Abstract
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.