MRI: Acquisition of a Test-bed for Next Generation Cognitive Radio Wireless Networks

提案#：CNS07-23263PI(S)：Kumar，Sunil Nagaraj，Santosh V.；Sarkar，Mahaseta机构：圣地亚哥州立大学圣地亚哥，CA 92115-1338标题：MRI/Acq.：下一代认知无线电无线网络项目测试床建议：该项目，获取最先进的认知无线电测试台，在其上可以测试利用认知无线电在物理层、MAC层、传输层和路由层的优点的协议，包括在实际试验台或原型上的验证，以验证无线网络，特别是跨层体系结构的开发所需的理论和仿真工作。这项工作涉及到。满足商业平台的需求，这些平台通常不允许对底层框架进行任何更改，并且很少为研究人员提供对RF、PHY和更低MAC功能的完全控制。。为频谱空穴检测和频谱使用模式获得新的、真实的模型，提供真实的数据来描述频谱使用的趋势和模式，这将对构建原型有很大的帮助(仿真结果取决于使用它们的模型)。从主用户模型重新创建概念，研究许可频段中的特征，然后通过模拟这些主用户的特征在ISM频段中重新创建这些主用户，以测试动态频谱接入算法。智能认知无线电嗅探射频(RF)介质并识别未使用的频段。然后，这些频带被“清理”，并且可以利用加载可能不连续的可用频率频带的正交频分多路复用(Ofdm)在它们上面传输信息。联邦通信委员会(FCC)已经认识到认知无线电在未来几年频谱管理中的重要性，甚至为认知无线电网络的目的开放了电视频段。因此，该项目创建了一个硬件平台来研究认知无线电系统，并建立了一个试验台来分析物理层、MAC层、路由层和传输层，以便能够在该领域进行研究。这些模型是为空洞检测和频谱使用模式而开发的。整个方法通过仿真将建模和重建(在ISM频段)结合在一起。广泛的影响：此试验台支持许多应用，如普适网络、远程患者监控、车辆间通信、紧急通信、机载网络和监视系统。传播成果应对认知无线电网络领域的研究和发展产生重大影响。研究将通过SDSU的行业合作伙伴关系转移到圣地亚哥的无线通信行业。课程的改进预计将提高学生(许多来自代表人数不足的群体)的技术技能和就业前景。

Proposal #: CNS 07-23263PI(s): Kumar, Sunil Nagaraj, Santosh V.; Sarkar, MahaswetaInstitution: San Diego State University San Diego, CA 92115-1338Title: MRI/Acq.: Test-bed for Next Generation Cognitive radio Wireless Networks Project Proposed:This project, acquiring a state-of-the-art cognitive radio test bed on which the protocols that exploit the merits of cognitive radios at the physical, MAC, transport, and routing layers can be tested, includes verification on a practical testbed or prototype to validate the theoretical and simulations work needed for the development of wireless networks, especially cross layer architectures. The work involves . Addressing the needs of commercial platforms that often do not allow any changes in the underlying framework and seldom provide researchers full control of the RF, PHY, and lower MAC functionalities. . Obtaining new and realistic models for spectrum hole detection and spectrum usage pattern providing real data depicting trend and patterns of spectrum usage which will contribute significantly in building prototypes (Simulation results are only as good as the models that use them.). Recreating concepts from a model of primary users studying the characteristics in licensed bands and then recreating those primary users in the ISM bands by emulating their characteristics for testing the dynamic spectrum access algorithms.Intelligent cognitive radios sniff the radio frequency (RF) medium and identify bands of unused spectrum. These bands are then "scavenged" and information can be transmitted over them utilizing orthogonal frequency division multiplexing (OFDM) loading possibly non-contiguous bands of available frequencies. Federal Communication Commission (FCC) has recognized the importance of cognitive radio in spectrum management in the coming years, and has even opened the television band for the purpose of cognitive radio networks. Thus, the project creates a hardware platform to investigate cognitive radio systems and builds a test bed to analyze the physical, MAC, routing and transport layers to enable research in the area. The models are developed for hole detection and spectrum usage patterns. The overall approach combines modeling and re-creation (in the ISM bands) via emulation.Broader Impacts: This test bed enables many applications such as pervasive networks, remote patient monitoring, inter-vehicular communications, emergency communications, airborne networks, and surveillance systems. Dissemination of results should have major impact on research and development in the areas of cognitive radio networks. Research will be transferred to wireless communication industry on San Diego through SDSU's industry partnerships. Curricular improvements are expected to enhance the technological skills and employment prospects of students (many from underrepresented groups).