Publications

Network optimization is used by operators to maximize return on investment and to ensure customer satisfaction with the quality of the delivered service.

In this paper, we propose a self-optimized downlink power allocation algorithm, which utilizes the concepts of game theory and fuzzy logic inference system.

In this paper, we propose a new concept of a knowledge management framework to enable a self-optimizing and self-learning for wireless system operation in real time.

In this paper, we propose an autonomous radio resource allocation and optimization scheme that chooses the transmit power and precoding vector among codebooks for multiple antennas transmitters to

As licensed spectrum is scarce and users have ever increasing throughput and data volume requirements, mobile network operators (MNOs) are looking for innovative ways for using the unlicensed spect

We describe a novel wireless backhaul solution, called Self-Optimizing Wireless Mesh Network (SWMN), which is targeted for interconnecting 5G small cell nodes cost-efficiently and smartly.

Self-organization is a key factor for the future evolution of mobile networks, especially for introduction of the new radio standard LTE.

In this paper, the problem of channel selection and power control is jointly analyzed in the context of multiple-channel clustered ad-hoc networks, i.e., decentralized networks in which radio devic

Based on the model equations of electroelastic turbulence in a cylindrical plasma, the potential profile which appears as a consequence of the self-organization of drift wave turbulence is predicte

The continuous random network model is widely used as a realistic description of the structure of covalent glasses and amorphous solids.