Distributed Signal Design and Optimum Transmit Strategies for Wireless Networks

马里兰州科尔公园Sennur UlukusU的Sennur UlukusU用户数量的增加和需要高比特率的服务的激增，加上无线带宽的稀缺，使得开发技术、技术和算法以最有效地利用可用资源变得比以往任何时候都更加重要。这项研究的目标是了解和确定无线通信网络的最终容量限制，并开发达到或接近这些容量限制的技术和算法。这项研究的一个重要结果将是制定未来无线网络设计的原则和指南。本研究的重点是多用户矢量多址接入信道的物理层和媒体访问控制层的设计和算法开发。本研究针对多发射机多接收器网络(多蜂窝蜂窝网络，以及更一般的自组织网络)、异步接收、具有符号间干扰(ISI)的色散信道和衰落信道的现实而重要的系统条件。研究了以最大化网络整体容量为目标的最优多用户传输策略的设计。这里，对于每个用户，发送策略意味着用户在任何给定的衰落和干扰状态下是否发送的决定，以及在其决定发送的情况下在其发送中使用的功率和矢量。在适用的情况下，接收器优化也被合并。研究人员研究了基于反馈和测量的、高度自适应的、分布式和迭代算法的发展，以构建网络范围内的最佳传输策略集成。

Abstract0311311Sennur UlukusU of Maryland, Coll ParkThe increase in the number of users, and proliferation of the services which require high bit-rates, combined with the scarcity of the wireless bandwidth, make it more important than ever to developtechnologies, techniques and algorithms to make the most efficient use of the available resources. The goal of this research is to understand and determine the ultimate capacity limits of wireless communication networks, and develop techniques and algorithms to achieve or approach these capacity limits. An important consequence of this research will be the development of principles and guidelines for the design offuture wireless networks.The focus of this research is the design of, and algorithm development for, the physical and medium access control (MAC) layers of multiuser vector multiple access channels. This research targets realistic andimportant system conditions of multiple-transmitter multiple-receiver networks (multi-cell cellular, and more generally, ad-hoc networks), asynchronous reception, dispersive channels with nter-symbol-interference(ISI), and fading channels. The investigator studies the design of optimummultiuser transmit strategies with the aim of maximizing the overall network capacity. Here, the transmit strategy means, for each user, the decision of the user to transmit or not, at any given fading and interference state, and the power and the vector it uses in its transmission, if it decides to transmit. The receiver optimization is incorporated as well, when applicable. The investigator studiesthe development of feedback- and measurement-based, highly-adaptive, distributed and iterative algorithms for the construction of network-wide optimum transmit strategy ensembles.