The Power Control Of Multi-user UWB System Based On Game Theory

Ultra-wideband impulse radio (UWB-IR) is a promising technology for data communications in short-range indoor applications. It attracts the world by its high data rate, low cost and low power consumption while coexisting with other wireless communication systems. Now it is also looked as one of the key technologies for the next generation wireless communication systems. And it could be applied in WLAN, WPAN, multi-user Ad hoc network, wireless sensor network, intelligent family, public security and military affairs, etc. This dissertation focuses on the power control of UWB network.Power control is an important element of the resource management for wireless communication system. For UWB indoor communication systems, power control provide frequency reuse of resources closer to complete coverage of the user on the target space, reduce co-channel interference and improve the capacity of the system. The same time, the effective control of transmit power can significantly reduce the equipment required to send a packet energy consumption, and extension of working hours to save power consumption.UWB technology for high speed wireless transmission in indoor environment is introduced, and the performance is analyzed and compared, including shape of impulse, modulation methods, multi-access technology, characterization of UWB channel in indoor environments, and structure of UWB communication system.This study focuses on propose a power control algorithm based on game theory that suitable to multi-user UWB wireless data network Taking into account the user's transmit power that will generate noise interference to other communication users, and it will reduce the QoS of the communication system. We design a new target function based on pricing. The function, which has Pareto efficiency, consists of subtraction of utility function and cost function. According to NDD characteristics of S-modular principle, we prove the existence and uniqueness of Nash Equilibrium point in this game algorithm. By the model simulation and data analysis, proved the user can reach a rational level of SIR using lower transmission power with this algorithm, which could be applicable in environments with various data rate.