Özet:
Recent years have witnessed many research in the area of wireless networks.
The goals can be divided into two main categories: improving network
performance and energy efficiency. Game theory is widely used to relate the
behavior of the users therefore, the cooperation among nodes can be achieved
and network performance can be improved when the game theory is utilized.
The applications of mathematical analysis to the study of wireless ad hoc
networks have met with limited success due to the complexity of mobility and
traffic models, the dynamic topology, and the unpredictability link quality that
characterize such networks. The ability to model individual, independent
decision-makers whose actions potentially affect all other decision-makers
renders game theory particularly attractive to analyze the performance of the ad
hoc networks. The cooperative approach with the use of game theory can
achieve power minimization, yet presents overheads, while non-cooperative
solutions utilizing the game theory reduce overhead, yet taking more iterations
as well as power for convergence. The dissertation suggests a new game theorybased algorithm for achieving trade-offs between communication overhead and
the power control with regard to multiple antenna enabled wireless adhoc
networks that operate in multiple-user interference environments. Enhanced
joint iterative power adaptions in addition to the beamforming approach has
been developed for minimizing mutual interferences at each one of the wireless
nodes along with constant received Signal to Interference Noise Ratio (SINR) at
each one of the receiver nodes. The performance optimization method has
presented the comparison between suggested algorithms and COPMA and Regret
Matching based joint transmit beamformer and power Selection Game (RMSG) is
provided. Furthermore, simulation results related to the two approaches proving
effective power adaptions as well as beamforming with regard to large and small
networks with minimum interferences and overheads in comparison to modern
approaches. Complexity analysis is presented, the comparison between different
games are presented.
