ITR/SI(CISE): MIMO Processing and Space-time Coding with Interference

ITR/SI(CISE)：MIMO 处理和干扰空时编码

• 批准号: 0112501
• 负责人: Rick Blum
• 金额: $ 28.26万
• 依托单位: Lehigh University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0112501&HistoricalAwards=false
• 关键词: ITR; SI; CISE; MIMO; Processing

ITR Small ProposalCCR-0112501Blum, RickTransmit and receive antenna arrays used to form multiple-input multiple-output (MIMO) channels have shown great potential in isolated, single link communications without cochannel interference.Provided the same number of transmit and receive antennas are used, recent research has shown that capacity scales linearly with the number of transmit antennas. This result has created an incredibleflurry of interest among researchers. While these MIMO systems have received extensive study for cases without cochannel interference, cases with cochannel interference have received much lessattention. Further, new simulation results indicate that cochannel interference can significantly degrade the overall capacity when MIMO channels are used in a cellular system in the same manner in whichthey are used for cases without interference. The investigators study the properties of MIMO systems withinterference to develop new methods of using MIMO which adapt the transmission scheme to the interference environment. These new methods, called stream control algorithms, transmit several different streams, each one using a different transmit weight vector. The maximum number of streams that can be transmitted is equal to the minimum of the number of transmit and receive antennas. The exact number of streams chosen depends on the current sensed state of the interference environment. Preliminary results indicate that significant performance gains can be achieved in this manner. Using the well developed theory of power control, distributed algorithms are being developed to control the number of streams employed in a cellular system with cochannel interference. The use of space-time coding is also being studied in conjunction with stream control. Wireless channels with frequency selective fading, various correlation structures, and other practical degradations are being studied.

用于形成多输入多输出（MIMO）信道的发射和接收天线阵列在无共信道干扰的隔离单链路通信中显示出巨大的潜力。如果使用相同数量的发射和接收天线，最近的研究表明，容量与发射天线的数量呈线性增长。这一结果在研究人员中引起了极大的兴趣。虽然这些MIMO系统在没有共信道干扰的情况下得到了广泛的研究，但有共信道干扰的情况却很少受到关注。此外，新的仿真结果表明，当在蜂窝系统中以与在无干扰情况下使用MIMO信道相同的方式使用MIMO信道时，共信道干扰会显著降低总体容量。研究了多输出多输出系统在干扰环境下的特性，提出了适应干扰环境的多输出多输出传输方案。这些被称为流控制算法的新方法传输几个不同的流，每个流使用不同的传输权重向量。可以传输的最大数据流数等于发送和接收天线数的最小值。所选择的流的确切数量取决于当前干扰环境的感知状态。初步结果表明，通过这种方式可以获得显著的性能提升。利用发达的功率控制理论，分布式算法正在被开发来控制在具有共信道干扰的蜂窝系统中使用的流的数量。时空编码的使用也正在与流控制一起研究。无线信道的频率选择性衰落，各种相关结构，和其他实际的退化研究。