ITR: Computationally Efficient Methods for Power Control in Wireless Systems

这项研究致力于提高现有无线系统功率控制算法的计算效率，以及开发新的计算效率高的算法。电源控制有助于将传输功率降至最低，这一点非常重要，因为它可以提高移动终端的电池寿命，延长无线网络的寿命。在多用户环境中，功率控制还有助于最小化干扰和增加系统容量。研究人员研究了使用迭代方法来提高现有功率控制算法的计算效率，重点是博弈论方法。在物理层，将功率控制与码字自适应相结合，提出了一种新的联合码字优化和功率控制算法，通过码字自适应减少有效干扰，以最小的发射功率获得目标信干比。码字自适应基于贪婪干扰避免方法，并从博弈论的角度进行了研究。

This research deals with improving the computational efficiency of existing powercontrol algorithms for wireless systems, as well as developing new computationallyefficient algorithms. Power control helps minimize transmitted power, and isimportant as it enhances battery life for mobile terminals and extends the lifeof the wireless network. In a multiuser environment power control contributes alsoto minimizing interference and increasing system capacity. The investigators study the use of iterative methods for improving the computationalefficiency of existing power control algorithms, with emphasis on game theoreticapproaches. At the physical layer power control is combined with codeword adaptationand new algorithms for joint codeword optimization and power control are developedin which target signal-to-interference ratios (SIRs) are achieved with minimumtransmitted power by decreasing effective interference through codeword adaptation.Codeword adaptation is based on greedy interference avoidance methods which are alsoinvestigated from a game theoretic perspective.