I/UCRC: Collaborative Research: Cognitive MIMO Communications for Dynamic-spectrum Wireless Networks

计划主任的建议中心连接一（C1）提案# 1230896 1231043 Kiaei和Krunz该提案寻求资金的中心连接一（C1）位于亚利桑那州州立大学（牵头单位）和亚利桑那大学。基础研究的资金申请由NSF批准的招标（NSF 11-570）授权。征集邀请I/UCRC提交支持行业定义的基础研究的提案。近年来，认知无线电（CR）和多输入多输出（MIMO）技术受到了极大的关注。虽然前者被视为提高频谱利用率的关键技术，但后者已被证明是提高频谱效率的强大信号处理技术。通过感测和/或探测，CR可以在暂时可用的频谱带上机会性地通信，同时避免与频谱许可的主用户（PU）的干扰。本计画的主要目的是在具有多天线功能的认知无线网路中，开发新的网路资源最佳化技术。集中式和分布式的解决方案将被研究，在同质和异构的机会频谱环境。将开发自适应速率和最佳天线波束形成策略。所提出的工作还探索了新的方式重新配置的认知MIMO系统的天线元件。 预计该项目将在认知MIMO通信和可重构天线设计领域产生重大技术影响。有效的解决方案将开发和验证理论和实验。这些解决方案将促进引入新一代高数据速率机会性服务和应用，包括机会性媒体交付。网络消费电子产品将特别有利于拟议的研究。PI与雷神公司在CR系统上的广泛合作将被利用，以实现拟议解决方案的原型可能性。参与该项目的研究生将获得CMIMO设计的宝贵理论和实践经验。

Program Director's Recommendation Center for Connection One (C1) Proposal # 1230896 & 1231043 Kiaei and Krunz This proposal seeks funding for the Center for Connection One (C1) located at the Arizona State University (lead site) and the University of Arizona. Funding Requests for Fundamental Research are authorized by an NSF approved solicitation, NSF 11-570. The solicitation invites I/UCRCs to submit proposals for support of industry-defined fundamental research. Cognitive radio (CR) and multi-input multi-output (MIMO) technologies have received great attention in recent years. While the former is viewed as a key enabling technology to improve spectrum utilization, the latter has already proved itself as a powerful signal processing technique for increasing spectral efficiency. Through sensing and/or probing, CRs can opportunistically communicate on temporarily available spectrum bands while avoiding interference with spectrum-licensed primary users (PUs). This project is focused on developing novel techniques for optimizing network resources in a cognitive wireless network with multi-antenna capability. Both centralized and distributed solutions will be studied, in homogeneous and heterogeneous opportunistic spectrum environments. Adaptive rate and optimal antenna beam forming strategies will be developed. The proposed work also explores new ways for reconfiguring the antenna elements of a cognitive MIMO system. The proposed project is expected to have significant technological impact in the areas of cognitive MIMO communications and reconfigurable antenna design. Efficient solutions will be developed and validated theoretically and experimentally. These solutions will facilitate the introduction of a new generation of high data rate opportunistic services and applications, including opportunistic media delivery. Networked consumer electronics will particularly benefit for the proposed research. The PIs extensive collaboration with Raytheon on CR systems will be leveraged to enable prototyping possibilities of the proposed solutions. Graduate students involved in this project will gain valuable theoretical and practical experience on CMIMO designs.