Noncooperative Beamforming for Ad hoc Networks

Ad hoc 网络的非合作波束成形

• 批准号: 0429596
• 负责人: Ronald Iltis
• 金额: --
• 依托单位: University of California-Santa Barbara
• 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: 2004-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0429596&HistoricalAwards=false
• 关键词: Noncooperative; Beamforming; Ad; hoc; Networks

Current wireless data networks, such as 802.11b/g/a (Wi-Fi) which arebased on single antenna transmission are inefficient in terms ofthe number of users (capacity) that can be supported in a given area. It is well known that multiple antenna elements (arrays) can be combined withbeamforming and space-time coding to greatly enhance the capacity ofcellular networks. However, the use of antenna arrays to enhance capacity in Ad hoc networks (i.e. when a base station is not available)is not well understood. The development of new beamforming and space-time coding techniques that exploit antenna arrays in Ad hoc networks will greatly increase the number of users and data rates that can be supported in future Wi-Fi and Wi-Max type applications, and reduce dependence on cellular and optical backbone infrastructures. This project specifically develops and analyzes a class of distributed array processing algorithms for increasing Ad hoc wireless network capacity based on iterative minimum mean-square error (IMMSE) beamforming. In IMMSE, the transmit beamformer at each node is set to the conjugate of the conventional MMSE receive beamformer computed using a training sequence. IMMSE is then studied using noncooperative game theory in order to obtain convergence and efficiency results. The IMMSE algorithm is extended to space-time coding to yield approximate solutions to maximizing decoupled Shannon capacities of Ad hoc networks. These IMMSE-Deflation (IMMSE-D)algorithms attempt to balance desired link capacity with a tax oninterference to other links, and hence may offer better networkthroughput than greedy capacity-maximization algorithms. Overallnetwork throughput is evaluated by embedding the IMMSE and IMMSE-Dalgorithms in a network simulation software package.

当前的无线数据网络，例如基于单天线传输的802.11b/g/a (Wi-Fi)，在给定区域中可支持的用户数量(容量)方面效率较低。众所周知，多个天线单元（阵列）可以与波束成形和空时编码相结合，从而大大提高蜂窝网络的容量。然而，使用天线阵列来增强 Ad hoc 网络的容量（即当基站不可用时）尚不清楚。利用 Ad hoc 网络中的天线阵列的新波束成形和空时编码技术的开发将大大增加未来 Wi-Fi 和 Wi-Max 类型应用中可支持的用户数量和数据速率，并减少对蜂窝和光纤骨干基础设施的依赖。该项目专门开发和分析了一类分布式阵列处理算法，用于基于迭代最小均方误差（IMMSE）波束形成来增加Ad hoc无线网络容量。在IMMSE中，每个节点处的发射波束形成器被设置为使用训练序列计算的传统MMSE接收波束形成器的共轭。然后使用非合作博弈论研究 IMMSE，以获得收敛和效率结果。 IMMSE 算法被扩展到空时编码，以产生最大化 Ad hoc 网络解耦香农容量的近似解。这些 IMMSE-Deflation (IMMSE-D) 算法尝试平衡所需的链路容量与对其他链路的干扰税，因此可以提供比贪婪容量最大化算法更好的网络吞吐量。通过在网络仿真软件包中嵌入 IMMSE 和 IMMSE-Dalgorithms 来评估总体网络吞吐量。