Working Toward Capacity in Multiple Antenna Radio

致力于提高多天线无线电的容量

• 批准号: 0431196
• 负责人: Michael Fitz
• 金额: $ 36万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0431196&HistoricalAwards=false
• 关键词: Working; Toward; Capacity; Multiple; Antenna

Over the past several years, there has been a great deal of research to improve performance of wireless communications in fading environments by exploiting transmitter and/or receiver diversity and spatial multiplexing. The pioneering work by Telatar, Foschini and Gans showed that multiple antenna radios (MAR) in a wireless communication system can greatly improve the performance. The major roadblock to MAR being a financially viable option for wireless communications is the cost of the analog portions of the radio. Point--to--point MAR systems employing complex signaling and signal processing algorithms have been designed and built and have achieved performance very close to the outage capacity. The remaining gains that are achievable in MAR will only be exploited by considering the cost and complexity of analog circuitry in MAR signalling and signal processing, by considering more complex models for wireless propagation, and by putting MAR in networking context. The focus of this effort is to push MAR technology by exploiting the structure in these more complex models and networking scenarios.The objectives of the effort can be succinctly stated as:1) Communication theory is often interested in normalizing performance for a fixed average power but in wireless implementations the peak power is a more critical driver than the average power. The research is examining optimization of performance and throughput with a peak power constraint in multiple antenna radio.2) Feedback communication is likely going to enable a significant improvement in throughput and demodulator complexity in a networked scenario especially in environments with low mobility (e.g., wireless computer networks). This research is approaching feedback communication with a classic scientific method of iterating between experimentation on real channels and more realistic theoretical problem formulations based on the results derived in experimentation.3) The cost driver in wireless communication currently is the analog circuitry. This research is examining techniques that would minimize the complexity of the analog systems in a multiple antenna radio. The objectives are to being met by the following research tasksa) Improved channel parameterization for long range prediction for multiple antenna radio,b) Design and field testing of a variety of MAR automatic repeat request algorithms,c) Experimentation with the proposed feedback algorithms for MAR,d) Feedback algorithms for MAR with constant envelop modulations,e) Feedback algorithms for MAR with limited analog capabilities,

在过去的几年中，已经进行了大量的研究来通过利用发射机和/或接收机分集和空间复用来改善衰落环境中的无线通信的性能。Telatar，Foschini和Gans的开创性工作表明，无线通信系统中的多天线无线电（MAR）可以大大提高性能。MAR作为无线通信经济上可行的选择的主要障碍是无线电模拟部分的成本。采用复杂的信令和信号处理算法的点对点MAR系统已经被设计和建造，并且已经实现了非常接近中断容量的性能。 只有通过考虑MAR信令和信号处理中模拟电路的成本和复杂性，通过考虑无线传播的更复杂模型，以及通过将MAR置于网络环境中，才能利用MAR中可实现的剩余增益。这项工作的重点是通过利用这些更复杂的模型和网络场景中的结构来推动MAR技术。这项工作的目标可以简单地说：1）通信理论通常对固定平均功率的性能标准化感兴趣，但在无线实现中，峰值功率比平均功率更重要。 该研究正在检查多天线无线电中具有峰值功率约束的性能和吞吐量的优化。2）反馈通信可能会在网络场景中实现吞吐量和解调器复杂性的显著改善，特别是在具有低移动性的环境中（例如，无线计算机网络）。 本研究采用经典的科学方法，在真实的信道上的实验和基于实验结果的更现实的理论问题公式之间进行迭代，以接近反馈通信。3）目前无线通信中的成本驱动因素是模拟电路。 这项研究正在研究的技术，将最大限度地减少模拟系统的复杂性，在多天线无线电。这些目标将通过以下研究任务来实现：a）用于多天线无线电的远程预测的改进的信道参数化，B）各种MAR自动重复请求算法的设计和现场测试，c）用所提出的MAR反馈算法进行实验，d）用于具有恒定包络调制的MAR的反馈算法，e）用于具有有限模拟能力的MAR的反馈算法，