Advanced Transmit Diversity and Spatial Multiplexing Techniques for the Enhancement of Capacity and Coverage in Wireless Broadband Access Systems.

这项建议是在无线接入上对高数据速率传输的需求不断增加的背景下提出的，这一需求受到日益复杂的多媒体服务的增长的支撑。由于实际系统中对服务质量的要求和对可用无线电频谱的严格限制，这是非常具有挑战性的。因此，我们工作的最终目标是使无线系统(如WLAN和WMAN)能够提供超过100Mb/S的无缝数据传输，并可能高达1 Gb/S，以取代现有的有线技术，如电缆调制解调器和ADSL。我们认为，只有通过利用空间分集，即利用发射端和很可能在接收端具有多个天线所提供的多条路径，才有可能支持如此高速的数据传输。我们将特别提出适用于宽带无线接入系统的先进的发射分集和空间复用技术以及相关的资源分配算法。所提出的分集技术将基于信道状态信息反馈。由于这种信道状态信息在反向链路中需要相当大的带宽才能传输，我们将研究各种新的反馈量化技术，并提出基于Grassman平面(子空间)打包的矩阵量化技术来显著降低反馈开销。我们还将开发基于空时频的统计均值和协方差反馈技术，以进一步减少反馈开销。我们将使用深入的数学分析和模拟研究(在Telecom Modus的指导下，针对合成数据集和现场数据集)，基于误码率和误块率等错误统计数据来评估我们所有方法的性能。我们的工作将在最重要的国际会议上发表，并在领先的IEEE技术期刊上发表，如IEEE Trans。无线通信。

This proposal is set in the context of the ever increasing demand for high data rate transmission over wireless access, underpinned by the growth of increasingly sophisticated multimedia services. This is very challenging due to the quality of service requirements and tight constraints on available radio spectrum in practical systems. The ultimate aim of our work is therefore to enable wireless systems such as WLANs and WMANs to provide seamless data transmission beyond 100Mb/s, and possibly up to 1Gb/s, as a replacement for established wire-line technology such as cable modems and ADSL. We believe that it will only be possible to support such very high speed data transmission through the exploitation spatial diversity, i.e. exploiting the plurality of paths provided by having multiple antennas at the transmitter and most probably at the receiver too.We will in particular propose advanced transmit diversity and spatial multiplexing techniques and associated resource allocation algorithms for broadband wireless access systems. The proposed diversity techniques will be based on channel state information feedback. Since such channel state information requires considerable bandwidth in the reverse link for its transmission, we will investigate various novel feedback quantization techniques and will propose Grassmannian plane (subspace) packing based matrix quantization techniques to reduce feedback overhead significantly. We will also develop space-time-frequency based statistical mean and covariance feedback techniques to further reduce the feedback overhead. The performance of all of our methods will be evaluated using in depth mathematical analysis and simulation studies (on synthetic and field datasets, with guidance from Telecom Modus) based upon error statistics such as bit error rates and block error rates. Our work will be presented at the foremost international conferences and published within the leading IEEE technical journals, such as IEEE Trans. Wireless Communications.