CAREER: Linear Precoding Methods for High Bit Rate Wireless Transmission

Scaglione，AnnaCornellU 0133635“Linearprecodingmethodsforhighbitratewirelestransmissionovertime-varyingbroadbandchannels“可以预见的是，在不久的将来，计算和多媒体应用将得到独特的移动的设备的支持，这些设备将能够发送和接收各种类型的信息（图像、音频、数据）。这些设备将使用基于互联网的独特接口，基于IP的通用传输协议，并将得到无处不在的无线覆盖的支持。 然而，今天使用的通信技术不足以在不产生对带宽的螺旋式增长的需求的情况下支持这一进展。 随着带宽成为低利润商品，需要从物理层开始超越某些技术障碍。使用调制范例，我们称之为“线性预编码”，这个项目的研究设计，允许高比特率的数据包传输在宽带频率选择性时变信道。 线性预编码框架中的块传输模型提供了非常通用的设置，以确定用于分组传输的最佳或最具成本效益的多址技术。该项目的扩展是开发用于分组传输的物理层解决方案，该解决方案：1）最小化专用于训练、纠错编码和预编码的开销带宽; 2）适应时变信道; 3）可以包含任意数量的发射和接收天线; 4）可以支持多址分组传输，允许在速率、解码延迟和复杂度方面的不同服务质量要求。线性预编码的数学框架不仅是研究的有用工具，而且也用于教学，因为它允许宽带和高比特率传输的原理的统一描述，包括方案，如天线分集，扩频和多载波传输作为特殊情况。

Scaglione, AnnaCornell U0133635"Linear precoding methods for high bit rate wirelesstransmission over time-varying broadband channels"It is predictable that in the near future computing and multimedia applications will be supported by unique mobile devices that will be capable of transmitting and receiving various type of information (images, audio, data). These devices will use a unique interface based on the Internet, a common transfer protocol basedon IP and will be supported by ubiquitous wireless coverage. However, the communication technology used today is inadequate to support this progress without generating a spiraling demand for bandwidth. As bandwidth becomes a low-margin commodity, certain technological barriers need to be surpassed starting from the physical layer. Using the modulation paradigm that we refer to as "linear precoding" this project researches designs that allow high bit rate packet transmission over broadband frequency selectivetime-varying channels. The block transmission model in the linear precoding framework provides a very general setting to determine the optimal or most cost-effective multiple access technique for packet transmission. The outreach of this project is the development of physical layer solutions for packet transmission that: 1) minimize the overhead bandwidth dedicated to training, error correction coding and precoding jointly; 2) adapt to time-varying channels ; 3) can incorporate an arbitrary number oftransmit and receive antennas; 4) can support multiple access packet transmission, allowing different quality of service requirements in terms of rate, decoding delay and complexity. The mathematical framework of linear precoding is not only an useful tool for research but also for teaching, since it allows a unified description of the principles of wideband and high bit rate transmission, including schemes such as antenna diversity, spread spectrum and multicarrier transmissions as special cases.