Statler College of Engineering and Mining Resources
Lane Department of Computer Science and Electrical Engineering
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.
Digital Commons Citation
Zeydan, Engin; Kivanc, Didem; Tureli, Ufuk; and Comaniciu, Cristina, "Joint iterative beamforming and power adaptation for MIMO ad hoc networks" (2011). Faculty & Staff Scholarship. 2792.
Zeydan, E., Kivanc, D., Tureli, U. et al. Joint iterative beamforming and power adaptation for MIMO ad hoc networks. J Wireless Com Network 2011, 79 (2011). https://doi.org/10.1186/1687-1499-2011-79