Career: Radio Resource Management for Wireless Data Networks

蜂窝电话的成功故事促使无线通信界将其注意力转向其他信息服务，其中许多属于“无线数据”通信的范畴。 蜂窝电话网络操作的一个教训是，有效的无线电资源管理（功率控制、信道分配和带宽）对于提高系统的质量和效率是必不可少的。 无线电资源管理在包括高速数据信号的系统中同样重要，如果不是更重要的话。 本研究的重点是开发一种新的无线数据网络中的无线资源管理框架。 这里考虑的新方法依赖于使用微观经济理论，考虑到概念效用（用户的满意度）和定价（向用户收取的成本）在开发分布式无线电资源管理算法的无线数据服务。 这项研究将作出根本性的贡献，影响知识和技术在目前不断发展的第三代无线系统。 一个数据用户的效用模型是基于无线终端在其电池寿命内可以传输的有用比特数而开发的。 基于这样一个模型的公用事业无线数据用户从使用系统，分布式功率控制算法，最大限度地提高效用被认为是。 将这些算法表示为非合作博弈，研究了这种功率控制的可行性条件以及非合作博弈纳什均衡的存在性和唯一性。 由此产生的均衡被证明是帕累托无效率的，从而激励引入定价来实现帕累托效率的提高。 本研究的目标是调查效用和定价功能，将驱动分布式资源管理方案（优化算法）的帕累托有效的操作点。 要考虑的具体问题包括基于功率和速率优化的非合作博弈，延迟约束下的效用最大化，效用和相应博弈的信息论概念，以及能量受限传输下的动态定价。 该研究员的教育目标包括：㈠与电气工程、计算机科学和大众传播的研究生一起开设无线通信多学科课程; ㈡无线通信技术课程，讨论无线电的理论方面及其与实际标准的关系; ㈢侧重于无线互联网和应用的特别本科生研究举措。

The cellular telephone success story has prompted the wireless communications community to turn its attention to other information services, many of them in the category of "wireless data" communica5ions. One lesson of cellular telephone network operation is that effective radio resource management (power control, channel assignment and handoffs) is essential to promote the quality and efficiency of a system. Radio resource management will be equally, if not more, critical in systems that include high-speed data signals. This research focuses on developing a new framework for radio resource management in wireless data networks. The new approach considered here relies on using microeconomic theories that take into account notions utility (level of satisfaction of a user) and pricing (cost charged to a user) in developing distributed radio resource management algorithms for wireless data services. This research will make fundamental contributions that impact knowledge and technology in the currently evolving third generation of wireless systems. A model for the utility of a data user is developed that is based on the number of useful bits that a wireless terminal can transfer over the lifetime of its battery. Based on such a model for the utility wireless data user derives from using the system, distributed power control algorithms that maximize utility are considered. Formulating these algorithms as noncooperative games, conditions for feasibility of such power control as well as existence and uniqueness of the Nash equilibrium achieved by the non-cooperative game are investigated. The resulting equilibria are shown to be Pareto inefficient, thereby motivating the introduction of pricing to achieve Pareto improvements in efficiency. The goals of this research are to investigate utility and pricing functions that will drive distributed resource management schemes (optimization algorithms) to Pareto efficient operating points. Specific issues to be considered include noncooperative games based on power and rate optimization, utility maximization under delay constraints, information theoretic notions of utility and corresponding games, and dynamic pricing under energy-constrained transmission. The educational objectives of the investigator include: (i) a multidisciplinary course in wireless communications with graduate students from electrical engineering, computer science and mass communications; (ii) a wireless communications technology course discussing theoretical aspects of wireless and its relations to practical standards; (iii) special undergraduate research initiatives focusing on the wireless internet and applications.