Distributed Signal Design and Optimum Transmit Strategies for Wireless Networks
Distributed Signal Design and Optimum Transmit Strategies for Wireless Networks
批准号:
0311311
负责人:
Sennur Ulukus
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-05-15 至 2007-06-30
中文摘要
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英文摘要
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.
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