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

用于增强无线宽带接入系统容量和覆盖范围的先进传输分集和空间复用技术。

• 批准号: EP/E041817/1
• 负责人: Sangarapillai Lambotharan
• 金额: $ 37.01万
• 依托单位: Loughborough University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FE041817%2F1
• 关键词: Advanced; Transmit; Diversity; Spatial; Multiplexing

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.

该提案是在日益复杂的多媒体服务的增长支撑下，对无线接入高数据速率传输的需求不断增长的背景下提出的。由于实际系统中的服务质量要求和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 WLAN 和 WMAN 等无线系统能够提供超过 100Mb/s、甚至可能高达 1Gb/s 的无缝数据传输，作为电缆调制解调器和 ADSL 等现有有线技术的替代品。我们相信，只有通过利用空间分集，即利用在发射机和很可能在接收机处具有多个天线所提供的多个路径，才有可能支持如此高速的数据传输。我们将特别提出先进的发射分集和空间复用技术以及用于宽带无线接入系统的相关资源分配算法。所提出的分集技术将基于信道状态信息反馈。由于此类信道状态信息在反向链路中需要相当大的带宽来进行传输，因此我们将研究各种新颖的反馈量化技术，并将提出基于格拉斯曼平面（子空间）打包的矩阵量化技术，以显着减少反馈开销。我们还将开发基于时空频率的统计均值和协方差反馈技术，以进一步减少反馈开销。我们所有方法的性能将根据误码率和块错误率等错误统计数据，使用深入的数学分析和模拟研究（在电信 Modus 的指导下，在合成数据集和现场数据集上）进行评估。我们的工作将在最重要的国际会议上展示，并在 IEEE Trans 等领先的 IEEE 技术期刊上发表。无线通信。